The invention relates to a system for modelling at least one state of a battery, the system comprising a parametric battery model, configured to receive one or more inputs and to provide a first output based thereon, a machine learning model, which has been trained to correct an output of the parametric battery model based on battery operation comprising aging, configured to receive one or more inputs and the first output and to provide a second output based thereon, a combiner, configured to receive the first output and the second output and to provide a third output based thereon.
A computer-implemented method comprises obtaining (202) a plurality of open circuit voltage curves of a battery (150) at a plurality of predefined charge cycles of the battery. Each of the open circuit voltage curves is indicative of an open circuit voltage over a predetermined charge range of the corresponding charge cycle. The method further comprises fitting (204) parameters of a model of the battery based on the plurality of open circuit voltage curves. The parameters include electrode parameters that model a corresponding open circuit electrode potential for each electrode of the battery.
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
G01R 31/3835 - Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H01M 10/0525 - Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodesLithium-ion batteries
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
The present invention relates to a method for estimating a state of a battery, the method comprising the steps of: acquiring data of the battery during at least a predetermined time range, the data comprising at least a plurality of voltage measurements and a plurality of current measurements, determining a time window within the predetermined time range, the time window starting after a relaxed voltage interval and comprising a dynamic load interval, executing a subspace identification analysis within the time window resulting in the determination of one or more parameters of the battery, populating a model of the battery with the one or more parameters, estimating the state of the battery based on the model.
Various examples relate to characterizing ageing of a rechargeable battery. Multiple state of health associated with capacity, impedance, and/or pressure or strain can be determined, taking into consideration stress factors of the battery. A model is built that enables to determine the state of health of the battery associated with pressure or strain.
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
H01M 10/42 - Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
Various examples of the disclosure pertain to monitoring a condition of a battery. In- dividual cells of small groups of cells are monitored. Problematic behavior or anoma- lous behavior of individual cells of small groups of cells can be detected. Reporting of measurement observables by a battery management system can be reconfigured and adjusted.
The invention relates to a computer-implemented method for determining a state of an energy storage device. In successive iterations of a Kalman filter procedure, the process noise or measurement noise covariances are dynamically updated.
Various examples of the disclosure pertain to determining a set of calendar aging values of a test cell of a rechargeable battery, e.g., LIBs. The set of calendar aging values of the test cell of the rechargeable battery corresponds to a set of Temperature-State of Charge (T-SOC) value pairs. The set of calendar aging values of the test cell of the rechargeable battery is determined based on a battery-generic reference model for calendar aging of a (specific or random) battery cell and on a further set of calendar aging values of the test cell of the rechargeable battery. The further set of calendar aging values is obtained/derived from measurements of the test cell of the rechargeable battery and corresponds to a further set of T-SOC value pairs.
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/374 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
G01R 31/382 - Arrangements for monitoring battery or accumulator variables, e.g. SoC
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
8.
PROCESSING OF STATUS DATA OF A BATTERY FOR AGING ESTIMATION
A method for processing status data of a battery comprises applying an autoencoder artificial neural network to initial status data. Reconstructed status data are obtained therefrom. The method comprises carrying out an aging estimation based on the reconstructed status data in order to obtain a status indicator which is indicative of an aging status of the battery.
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
9.
BATTERY CAPACITY ESTIMATION USING RECURSIVE FILTER
Various examples of the disclosure pertain to determining an estimate of a capacity of a battery. A recursive filter is used. The recursive filter operates based on state-of- charge difference values and charge throughput values obtained for a sequence of charging or discharging half-cycles.
The dependency of the open circuit voltage on the state of charge of a battery, i.e., the OCV curve is determined, e.g., to facilitate determination of the state of health or state of charge of the battery. The OCV curve is determined based on the values of multiple independent parameters, e.g., half-cell potentials derived from degradation modes such as loss of lithium inventory or loss of active material at the cathode or anode.
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Control mechanisms for machines, for engines and motors. Apparatus, instruments and cables for electricity;
batteries; displays; computers; software; computer software
platforms, recorded or downloadable; control devices;
recorded content; information technology and audio-visual,
multimedia and photographic devices; magnets, magnetizers
and demagnetizers; measuring, detecting and monitoring
instruments, indicators and controllers; navigation,
guidance, tracking, targeting and map making devices;
optical devices, enhancers and correctors. Vehicles and conveyances; steering units for land vehicles. Recharging of batteries and accumulators. Telecommunication services; provision of access to content,
websites and portals; providing access to platforms on the
internet. Programming of software for e-commerce platforms; computer
software design; software development; computer software
consultancy; it services; testing, authentication and
quality control; science and technology services;
technological consultancy; information technology [IT]
consultancy; professional advisory services relating to
computer software; software as a service (SaaS) and rental
of software; computer-assisted technical data analysis;
computer system analysis; data duplication and conversion
services, data coding services; hosting of computer sites
(websites); it consultancy, advisory and information
services; cloud computing; cloud hosting provider services;
providing virtual computer systems through cloud computing;
platform as a service [PaaS]; computer programming for data
processing and communication systems.
12.
HYBRID PARAMETRIC – MACHINE LEARNING BATTERY AGING MODEL
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Pneumatic controls for machines, for engines and motors, namely, pneumatic actuators.
(2) Apparatus, instruments and cables for electricity, namely, computer hardware and sensors for tracking and analysing battery management system data, for diagnosing battery life and performance, for monitoring battery load data, for monitoring battery analytics and performance, inverters for power supply, electrical sensors for detecting and monitoring electric current and voltage, temperature sensors, cables for electrical signal transmission; lithium-ion batteries; display monitors; computers; computer software to measure, monitor and analyse battery cell data performance; computer software to measure and monitor voltage and temperature of battery cells and batteries; computer software to manage voltage and temperature of battery cells and batteries; computer software to analyze battery performance; downloadable software for use in the fields of battery management, control and energy storage, namely, for managing battery and stationary battery energy storage system performance, controlling batteries and stationary battery energy storage systems, monitoring, analysing and predicting battery and stationary battery energy storage system safety, performance and lifetime, interfacing with energy system components, sending data between the battery and stationary battery system and any electronic hardware connected to the battery and stationary battery system, design and simulation of battery and stationary battery energy storage systems, programming, debugging and commissioning of battery and stationary battery energy storage systems, mathematical modelling of batteries, and battery test programmes; downloadable computer software platforms for use in battery data processing, battery data analytics, battery data monitoring for battery systems inverters, electrical sensors for detecting and monitoring electric current and voltage, temperature sensors, and for electric motors and inverters in electric cars for battery data processing; battery management systems comprised of monitoring devices, namely battery monitoring devices that may be attached to a battery to monitor the performance of the battery and operating software for use therewith, sold as a unit, and charge controllers for monitoring battery performance characteristics and controlling charging of batteries; battery management systems comprised of recorded battery analytics software; information technology and audio-visual, multimedia and photographic devices, namely, computers, computer printers, computer monitors, video cameras, microphones, video display units, digital cameras; electromagnets, magnetizers and demagnetizers; measuring, detecting and monitoring instruments, indicators and controllers, namely, communication hubs in the nature of computer hardware to facilitate the communication of data arising on the measurement and monitoring of voltage and temperature of battery cells and batteries; navigation, guidance, tracking, targeting and map making devices, namely, global positioning system (GPS) consisting of computers, computer software, transmitters, receivers, and network interface devices; optical devices, enhancers and correctors, namely, optical fiber sensors, scanning electron microscopes, optical scanners.
(3) Vehicles and conveyances, namely, automobiles, motorcycles, scooters, electric bicycles, electric cars, electric trucks; vehicle parts, namely, steering units for land vehicles. (1) Vehicle battery charging.
(2) Telecommunication services, namely providing multiple-user access to a global computer network; provision of access to content, websites and portals, namely, providing access to a web, mail and news portal, providing access to a photo and video sharing portal, providing access to mobile Internet portals; providing access to platforms on the internet.
(3) Programming of software for e-commerce platforms; computer software design; computer software development; computer software consultancy; Information technology [IT] support services in the nature of troubleshooting of software; authentication and quality control testing of stationary batteries; science and technology services, namely, scientific research and development in the field of battery management systems, battery charging systems, energy storage systems, battery and energy storage safety systems, and battery and energy storage monitoring systems; technological consultancy relating to battery management systems and battery cells technology; information technology [IT] consultancy relating to relating to battery management systems, battery charging systems, energy storage systems, battery and energy storage safety systems, and battery and energy storage monitoring systems; professional advisory services relating to computer software; software as a service (SaaS) provider for hosting software for use by others for use in battery management, software as a service [SaaS] featuring software for consolidating and analyzing data regarding the storage and discharge of stored electricity for the operation of electric vehicles, management of battery and energy usage, and for management and analysis of data relating to battery and energy usage and rental of software; computer-assisted technical data analysis relating to battery management systems, battery charging systems, energy storage systems, battery and energy storage safety systems, and battery and energy storage monitoring systems; computer system analysis services; document data transfer and conversion from one media to another; hosting of computer sites (websites); information technology consultancy, advisory and information services relating to the protection and recovery of computer data; information technology consultancy, advisory and information services relating to installation, maintenance and repair of computer software; cloud computing provider services for general storage of data; cloud computing providing software for database management; cloud computing web hosting services; cloud hosting provider services; providing virtual computer systems through cloud computing; platform as a service [PaaS] featuring computer software platforms for consolidating and analyzing data regarding the storage and discharge of stored electricity for the operation of electric vehicles, management of battery and energy usage, and for management and analysis of data relating to battery and energy usage; platform as a service (PaaS) featuring computer software enabling users and systems to collaborate (view and change) on data across applications; computer programming for data processing and communication systems.
14.
DETERMINING THE STATE OF HEALTH OF BATTERIES WITH DYNAMIC DIAGNOSTIC LOAD PROFILE
The present invention relates to a method (1000) for estimating a state of a battery (B), the method comprising the steps of: acquiring (S1100) data of the battery (B) during at least a predetermined time range, the data comprising at least a plurality of voltage measurements (V) and a plurality of current measurements (I), determining (S1200) a time window (W) within the predetermined time range, the time window (W) starting after a relaxed voltage interval (RVI) and comprising a dynamic load interval (DLI), executing a subspace identification analysis (S1500) within the time window (W) resulting in the determination of one or more parameters of the battery (B), populating (S1600) a model (5000) of the battery (B) with the one or more parameters, estimating (S1800) the state of the battery based on the model (5000).
A method for monitoring a battery system is proposed. The method includes providing a sequence of pairs of measured current and voltage values that follow one another in time. The pairs of current and voltage values indicate the current flowing through the battery system and the voltage present at the battery system. The method also provides for an electrical equivalent model of the battery system to be provided. The equivalent electrical model has several impedances connected in series. Initial impedance parameter values are provided for the impedances of the equivalent electrical model. The method provides for adjusting a first impedance parameter of an impedance of the equivalent electrical model based on the difference between a first voltage value simulated based on the initial impedance parameter values and the first current value of the finite sequence and the first measured voltage value of the finite sequence. An optimized first impedance parameter value is thereby obtained. By minimizing the deviation of a sequence of simulated voltage values obtained on the basis of the electrical equivalent model and the first sequence of measured current values from the sequence of measured voltage values by adapting at least one further impedance parameter of the impedances of the electrical equivalent model, at least one optimized further impedance parameter value of the at least one further impedance parameter is obtained. A battery management system for carrying out the method is also proposed.
G01R 31/389 - Measuring internal impedance, internal conductance or related variables
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/3842 - Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H01M 10/42 - Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
The invention relates to a thermal impedance spectroscopy of batteries. According to the method, heat is generated in the interior of the battery cell (81) at a number of frequencies, with a continuous frequency sweep through the number of frequencies or time-parallel for at least some of the number of frequencies. A surface temperature of the battery cell is measured and one or more parameters associated with a thermal impedance are determined depending on a relationship of the surface temperature with the heat generation for the number of frequencies.
G01R 31/389 - Measuring internal impedance, internal conductance or related variables
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
18.
DETERMINATION OF AN AGEING VALUE FOR BATTERIES WITH CURRENT-VOLTAGE TIME SERIES IN TIME DOMAIN AND LOAD DOMAIN
The invention relates to various examples of the invention relating to techniques used to determine an ageing value of a battery - e.g. the capacity. According to the invention, time series that include values for operational load parameters of the battery at certain points in time defined in a time domain and a load domain are considered.
Various examples relate to techniques for carrying out a characterization of a rechargeable battery in a two-stage process. To this end, an upstream algorithm is used in order to determine one or more derived state variables of the battery. These are then used as input values for a machine-learned algorithm. An aging value of the battery is obtained therefrom.
A method for estimating an impedance of a battery. The method includes the steps of: acquiring data of the battery during at least a predetermined time range, the data including at least a plurality of voltage measurements and a plurality of current measurements; determining a time window within the predetermined time range, the time window starting after a relaxed voltage interval and including a dynamic load interval, determining an initial voltage, the initial voltage being the voltage measurement at the start of the time window, determining a plurality of dynamic voltages based on the voltage measurements in the time window and the initial voltage, executing a subspace identification analysis based on the plurality of current measurements and on the plurality of dynamic voltages, and computing the impedance from an output of the subspace identification analysis.
Impedance data of at least one battery cell (12) are collected. Further, parameters of an aging model function describing aging of the at least one battery cell (12) are determined. Further, a transfer function is determined which relates the impedance data to the parameters of the aging model function. The transfer function may then be used as a basis for reconstructing the parameters of the aging model function from measured impedance data.
A state value for a rechargeable battery, for example a lithium-ion battery, is determined on the basis of several aging characteristic variables. The aging characteristic variables comprise at least one current aging value and one future aging value.
The invention relates to general technology for monitoring the state of a battery, e.g., a lithium-ion battery. A thermal simulation model is used for this purpose. Different examples relate to the parameterizing of the thermal simulation model.
Described are techniques for ascertaining one or more characteristic values of batteries. For example, the state of charge (SOC), the static voltage or open-circuit voltage (OCV) can be ascertained. The capacitance of the battery can also be ascertained.
A plurality of state data (41, 551-556) which relate to different components (511-516) of a battery system (91-96, 501) are received. A machine-learned algorithm (560, 651, 652, 653) is applied to the plurality of state data (41, 551-556) in order to determine in this way a state indicator (99, 601, 602, 603) which is indicative of a component (511-516) of the multiplicity of components (511-516) that is the original cause of a fault state of the respective battery system (91-96, 501).
A method for server-side characterization of a rechargeable battery (91-96) comprises obtaining operating values for a capacity of the battery (91-96) and an impedance (91-96) of the battery; based on the operating values: performing at least one state prediction (181-183) for the battery (91-96), each of the at least one state predictions (181-183) comprising a plurality of iterations (1099), wherein in each iteration (1099) a simulation of an electrical state of the battery (91-96) and a thermal state of the battery (91-96) is performed and an aging estimate for the capacity and the impedance is determined based on the results, wherein the aging estimate from a first iteration (1099) of the respective state prediction (181-183) is used for the simulation in a subsequent second iteration (1099) of the respective state prediction (181-183).
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
27.
Characterisation of lithium plating in rechargeable batteries
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/3835 - Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
H01M 10/0525 - Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodesLithium-ion batteries
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
28.
METHOD FOR DETERMINING A CONDITION OF AN ENERGY STORE
The invention relates to a computer-implemented method for determining a condition of an energy store. The co-variances of process noise or measurement noise are dynamically updated in successive iterations of a Kalman filtering method.
According to the invention, a corrected value for a terminal voltage is taken into consideration in determining a state value of the battery - for example an ageing value, the capacity, the charge state or the impedance. Said value is determined on the basis of a measured value for the terminal voltage of the battery, and on the basis of one or more operating parameters of a DC/AC converter, for example an inverter, via which the battery is connected to a load.
The invention relates to a computer-implemented method for determining a state of health of an energy store. A model for calculating a capacitance of a charging/discharge process is generated from measurement values of at least one first charging/discharge process of the energy store. A state of health of the energy store is determined based on the capacitance model and a second charging/discharge process.
The invention relates to a method for processing condition data (201, 210) of a battery (91-96) comprising the use of an auto-encoder of an artificial neural network (310) on initial condition data (201, 210). Reconstructed data (209) is obtained therefrom. The method comprises running an ageing estimate on the basis of the reconstructed condition data (209) to obtain a condition indicator (99) which is indicative of an ageing condition of the battery (91-96).
LL12341234soldiff4ohmcteldiff1234ohmcteldiffeldiff) is obtained. The invention also relates to a battery management system for carrying out the method.
Various examples relate to techniques for carrying out a characterisation of a rechargable battery in a two-stage process. To this end, a pre-stored algorithm is used in order to determine one or more derived state variables of the battery. These are then used as input values for a machine-learned algorithm. An ageing value of the battery is obtained therefrom.
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Control mechanisms for machines, for engines and motors. Apparatus, instruments and cables for electricity; Batteries; Displays; Computers; Software; Computer software platforms, recorded or downloadable; Control devices; Recorded content; Information technology and audio-visual, multimedia and photographic devices; Magnets, magnetizers and demagnetizers; Measuring, detecting and monitoring instruments, indicators and controllers; Navigation, guidance, tracking, targeting and map making devices; Optical devices, enhancers and correctors. Vehicles and conveyances; Steering units for land vehicles. Recharging of batteries and accumulators. Telecommunication services; Provision of access to content, websites and portals; Providing access to platforms on the Internet. Programming of software for e-commerce platforms; Computer software design; Software development; Computer software consultancy; IT services; Testing, authentication and quality control; Science and technology services; Technological consultancy; Information technology [IT] consultancy; Professional advisory services relating to computer software; Software as a service (SaaS) and rental of software; Computer-assisted technical data analysis; Computer system analysis; Data duplication and conversion services, data coding services; Hosting of computer sites (websites); IT consultancy, advisory and information services; Cloud computing; Cloud hosting provider services; Providing virtual computer systems through cloud computing; Platform as a service [PaaS]; Computer programming for data processing and communication systems.
A condition value (99) for a rechargeable battery (91-96), e.g. a lithium-ion battery, is determined on the basis of several aging properties. The ageing properties comprise at least an actual aging value (98) and a future aging value (98).
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
The invention relates to general technology for monitoring the status of a battery, e.g. a lithium ion battery. A thermal simulation model is used for this purpose. Different examples relate to the parameterising of the thermal simulation model.
The invention relates to a method for the characterisation of a rechargeable battery (91-96) at risk of lithium plating, comprising the following steps: receiving (1001) operating values (41) of the battery (91-96) as time series, wherein the operating values of the battery comprise a terminal voltage of the battery ( U(t) ) and a battery power of the batter ( I(t) ); determining (1002) a modelled terminal voltage ( USim(t) ) with a model of the battery (400), based on the battery power ( I(t) ); comparing (1003) the modelled terminal voltage ( USim(t) ) with the terminal voltage ( U(t) ); and determining (1004, 1004a, 1004b) a lithium plating status of the battery based on the comparison.
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
G01R 31/3842 - Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
38.
SERVER-SIDE CHARACTERISATION OF RECHARGEABLE BATTERIES
The invention relates to a method for server-side characterisation of a rechargeable battery (91-96) comprising: obtaining operating values for a capacity of the battery (91-96) and an impedance of the battery (91-96), based on the operating values; and carrying out at least one state prediction (181-183) for the battery (91-96), wherein each of the at least one state prediction (181-183) comprises multiple iterations (1099), wherein a simulation of an electrical state of the battery (91-96) and a thermal state of the battery (91-96) is carried out in each iteration (1099), and an aging estimation for the capacity and the impedance is determined on this basis, wherein the aging estimation from a first iteration (1099) of the respective state prediction (181-183) is used for the simulation in a subsequent second iteration (1099) of the respective state prediction (181-183).
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
B60L 58/10 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
B60L 58/24 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
G01R 31/371 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Control mechanisms for machines, for engines and motors. Apparatus, instruments and cables for electricity; Batteries; Displays; Computers; Software; Computer software platforms, recorded or downloadable; Control devices; Recorded content; Information technology and audio-visual, multimedia and photographic devices; Magnets, magnetizers and demagnetizers; Measuring, detecting and monitoring instruments, indicators and controllers; Navigation, guidance, tracking, targeting and map making devices; Optical devices, enhancers and correctors; Safety, security, protection and signalling devices; Diving equipment. Vehicles and conveyances; Control apparatus for land vehicles. Recharging of batteries. Telecommunication services; Access to content, websites and portals; Providing access to platforms on the Internet. Programming of software for e-commerce platforms; Computer software design; Software development; Computer software consultancy; IT services; Testing, authentication and quality control; Science and technology services.
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
37 - Construction and mining; installation and repair services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Pneumatic controls for machines, engines and motors Apparatus and instruments for electricity, namely, computer hardware and sensors for tracking and analysing battery management system data, for diagnosing battery life and performance, for monitoring battery load data, for monitoring battery analytics and performance; inverters and electrical current sensors, voltage sensors, temperature sensors for electric motors and inverters in electric cars; cables for electrical signal transmission; batteries; computers; downloadable computer software and downloadable mobile application software for use in operating battery operated equipment and for use in operating industrial cooling equipment, inverters and sensors; battery systems comprised of downloadable and recorded software for use in operating inverters and sensors; electric motors and inverters used for battery data processing and battery analytics; downloadable computer software platforms for use in battery data processing, battery data analytics, battery data monitoring for battery systems inverters, sensors, and for electric motors and inverters in electric cars for battery data processing; information technology and audio-visual, multimedia and photographic devices, namely, computers; magnets, magnetizers and demagnetizers; measuring, detecting and monitoring instruments, indicators and controllers, namely, electrical controlling devices in the form of computer hardware and electrical current sensors, voltage sensors, temperature sensors ; navigation, guidance, tracking, targeting and map making devices, namely, global positioning system (GPS) device and battery tracking devices in the nature of battery monitors; safety, security, protection and signalling devices, namely, battery safety sensors; control mechanisms for land vehicles, namely, battery charge control mechanism comprised of computer hardware and electrical current sensors, voltage sensors, temperature sensors, battery safety shutdown mechanism comprised of computer hardware and temperature sensors, battery load reduction mechanism comprised of computer hardware and temperature sensors, battery cooling control mechanism comprised of computer hardware and temperature sensors and land vehicle safety mechanism comprised of computer hardware and temperature sensors Vehicles and conveyances, namely, land vehicles, motorcycles, scooters, electric bikes, electric land vehicles Recharging of batteries Telecommunication services for providing multiple-user access to a global computer network Programming of software for e-commerce platforms; computer software design; software development; computer software consultancy; Information technology IT consulting services; testing, authentication and quality control of the deployed solutions of others, namely, the implementation and customization of software applications; science and technology services, namely, scientific research and development in the field of battery technologies and battery-powered systems and equipment and components, providing temporary use of online non-downloadable computer software for use in managing and operating battery-powered systems and battery systems with peripheral electric motors and inverters; providing an interactive website featuring technology and technology information that allow users to enter, access, and synthesize information and generate reports for use in predictive analytics software related to battery systems and the development and operation of batteries
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific research and laboratory apparatus, educational apparatus and simulators; Apparatus, instruments and cables for electricity; Recorded content; Information technology and audio-visual, multimedia and photographic devices; Magnets, magnetizers and demagnetizers; Measuring, detecting and monitoring instruments, indicators and controllers; Navigation, guidance, tracking, targeting and map making devices; Optical devices, enhancers and correctors; Safety, security, protection and signalling devices; Diving equipment. Vehicles and conveyances. Telecommunication services. Design services; IT services; Testing, authentication and quality control; Science and technology services.
