EP4449292A1 - Verfahren zum erzeugen eines virtuellen prototyps einer fahrzeugbatterie - Google Patents
Verfahren zum erzeugen eines virtuellen prototyps einer fahrzeugbatterieInfo
- Publication number
- EP4449292A1 EP4449292A1 EP22843995.6A EP22843995A EP4449292A1 EP 4449292 A1 EP4449292 A1 EP 4449292A1 EP 22843995 A EP22843995 A EP 22843995A EP 4449292 A1 EP4449292 A1 EP 4449292A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle battery
- terminal voltage
- values
- parameters
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—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]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/32—Circuit design at the digital level
- G06F30/337—Design optimisation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/373—Design optimisation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/39—Circuit design at the physical level
- G06F30/398—Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/64—Road conditions
- B60L2240/642—Slope of road
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/46—Control modes by self learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Definitions
- the invention relates to a method for creating a virtual prototype of a vehicle battery based on data from road measurements.
- Vehicle batteries are used in electrically powered vehicles or hybrid vehicles to supply power to the drive train. It is known from the prior art to analyze the electrical behavior of vehicle batteries on the basis of physical data.
- a first aspect of the invention relates to a computer-implemented method for generating a virtual prototype of a vehicle battery on the basis of data from road measurements, having the following work steps: • detecting values of measured variables of a measurement run, including a value of a terminal voltage;
- the vehicle battery model including battery parameters including an open-circuit voltage, a charge capacity when discharging, an internal resistance when discharging, an RC resistance when discharging and an RC capacitance when discharging, with at least values of the terminal voltage as a target variable be issued;
- a second aspect of the invention relates to a system for generating a virtual prototype of a vehicle battery based on data from road measurements, which has means for parameterizing a vehicle battery model of the virtual prototype, which has battery parameters, the means for parameterizing being set up, in particular by cascaded software -in-the-loop simulation based on measured values of the road measurement, the values of the battery parameters of the vehicle battery model in simulation loops, in which electrical parameters of the vehicle battery model are optimized, separately according to certain criteria that are derived from the battery condition, by comparing simulated parameter values with parameter values calculated from the road measurements.
- a third aspect of the invention relates to a system for generating a virtual prototype of a vehicle battery on the basis of data from road measurements, which system has means for parameterization, the means for parameterization comprising:
- a fourth aspect of the invention relates to a method for analyzing a vehicle battery, wherein the vehicle battery is simulated using a virtual prototype of the vehicle battery, which is generated using a method for generating a virtual prototype based on road measurements.
- a road measurement within the meaning of the invention is preferably a field measurement, i.e. a measurement that takes place in real ferry operation of the vehicle.
- a software-in-the-loop simulation within the meaning of the invention is preferably a simulation in which a component described by software is tested in a virtual model world.
- a battery parameter within the meaning of the invention preferably represents a property of a vehicle battery.
- a battery parameter in vehicle batteries is a property that describes the behavior of the vehicle battery when the state of charge changes (when charging or discharging), but also when no battery current is flowing.
- Battery parameters also preferably result from the circuitry of the battery components. These preferably characterize the effect of electrical energy consumption by the vehicle battery and/or the effect of electrical energy output to the vehicle battery, which can take place, for example, in an acceleration process or during regenerative braking. More preferably, this dependency can be stored as a function or characteristics map.
- a terminal voltage within the meaning of the invention preferably indicates an, in particular, averaged or filtered output voltage at the terminals of the vehicle battery.
- An open-circuit voltage within the meaning of the invention preferably indicates a voltage, in particular an averaged or filtered voltage, at the terminals of the vehicle battery when no load current is flowing.
- a charge capacity within the meaning of the invention is preferably an, in particular averaged or filtered, capacity of the vehicle battery in Ah or Wh, the charge capacity when charging means the portion of the total capacity that has not yet been charged and the charge capacity when discharging means the portion of the total capacity of the vehicle battery that has not yet been discharged means.
- An internal resistance within the meaning of the invention preferably indicates a resistance of the circuit of the vehicle battery that is dependent on the state of charge and the battery temperature.
- the internal resistance when the vehicle battery is being charged is fundamentally different from the internal resistance when the vehicle battery is being discharged.
- An RC resistance within the meaning of the invention preferably indicates a resistance of an RC element of the vehicle battery connected in series with the internal resistance.
- An RC capacitance within the meaning of the invention preferably designates a capacitance of an RC element of the vehicle battery connected in series with the internal resistance.
- the invention is based on the approach of being able to determine battery parameters of the vehicle battery using an iterative simulation method for a virtual prototype. In this way, the electrical charging and discharging behavior of the vehicle battery can be simulated without the need for further test drives with a test vehicle.
- the vehicle battery model creation can be based on this way with little effort, in a short time and with high verifiable quality.
- the behavior of the terminal voltage depending on the battery status can be simulated particularly accurately.
- the method according to the invention enables the vehicle battery model to be created automatically on the basis of the measurement data from road measurements.
- the battery parameters of a charge capacity during charging, an internal resistance during charging, an RC resistance during charging and an RC capacitance during charging also enter into the vehicle battery model.
- the battery parameters of a charge capacity without current flow, an internal resistance without current flow, an RC resistance without current flow and an RC capacitance without current flow also enter into the vehicle battery model.
- a state of charge of the vehicle battery is also included in model parameters of the vehicle battery model.
- Model parameters are parameters on which the vehicle battery model depends.
- battery parameters that are included in the vehicle battery model can be dependent on the model parameters.
- a battery temperature is also included in the model parameters of the vehicle battery model.
- the method further comprises the step: detecting at least one load event in the values of measured variables; and restricting the values of measurement variables to those that are in at least one value range around the at least one load event.
- a load event within the meaning of the invention is an event with a specified high load on the vehicle battery. These are, in particular, strong acceleration events, during which a high load is required from the battery in a short period of time, or a strong deceleration event, during which a recuperation brake recuperates kinetic energy of the vehicle into electrical energy in the vehicle battery. Longer uphill drives and/or downhill drives, for example, also have an increased probability of load events on average.
- a physical parameter of the cell structure is included in the vehicle battery model.
- Vehicle batteries often have a modular structure.
- the smallest units of a vehicle battery are individual cells. If several cells are connected in series, you get a "strand" (or string). A parallel connection of several strands (strings) is referred to as a "module”. If several modules are combined with each other to form a parallel connection or series connection or a mixture of these, this is called a "pack”. If the cell structure of the vehicle battery is known, i.e. in particular the number of cells in series and in parallel in a pack of the vehicle battery, the simulation can be adapted to the size of the battery.
- the termination condition is or corresponds to reaching a, in particular local or absolute, minimum of a deviation between the simulated terminal voltage and the measured terminal voltage and/or reaching a limit value of the simulated terminal voltage, in particular when the simulated terminal voltage only changes infinitesimally.
- the measured variables recorded are selected from the following group of measured variables:
- the cell temperature is the temperature measured on a cell of the vehicle battery.
- the battery temperature can be estimated from one or more cell temperatures. For example, the average of the highest and lowest measured cell temperature can be assumed as the value of the temperature of the vehicle battery. Another possibility is to use the temperature of a coolant used to cool the vehicle battery as an approximation of the temperature of the vehicle battery.
- the following driving maneuvers are preferably carried out during the test drive depending on the target variable:
- Driving uphill and driving downhill is carried out in particular over a period of at least 30 seconds, preferably at least 10 seconds.
- FIG. 1 shows an exemplary embodiment of a method for generating a virtual prototype of a vehicle
- FIG. 2 shows the structure of a high-voltage battery
- FIG. 3 shows a circuit diagram of an electrical equivalent model for simulating a vehicle battery
- FIG. 4 shows an exemplary embodiment of a system for generating a virtual prototype of a vehicle.
- FIG. 1 shows an exemplary embodiment of a method SO for generating a virtual prototype of a vehicle battery of a vehicle 1 based on data from road measurements.
- measurement runs are preferably carried out with an at least partially electrically powered vehicle 1 on routes 2, in particular roads.
- a first work step S1 values of measurement variables of a measurement run are recorded.
- this can be done via a data interface, but it can also be carried out directly by its sensors during the measurement run.
- Driving uphill, driving downhill, the driving uphill and driving downhill being carried out in particular over a period of at least several minutes, preferably over a period of at least 10 seconds and particularly preferably over a period of at least 30 seconds.
- These driving maneuvers are preferably carried out repeatedly, so that each of the maneuvers is carried out for different states of charge and particularly preferably also for different battery temperatures.
- the measured variables recorded in the first work step S1 are preferably selected from the following group of measurement groups:
- the selection can also include all of the parameters mentioned.
- the recorded measured values are categorized, for example according to battery temperature and state of charge. This means that readings taken at a similar battery temperature, for example, are assigned to the same category.
- the measured values can be categorized according to battery temperature, in particular, in increments of 5°C or in increments of 10°C. In this example, all readings taken at a battery temperature between 20°C and 25°C could fall into the same category.
- measured values can be categorized according to a state of charge. In particular, the measured values can be categorized according to a state of charge in steps of 5% of the total charge capacity.
- the categorized measured values are divided according to their categorization.
- the readings could be divided into 20 categories of readings (0-5% state of charge to 95-100% state of charge) when categorized by state of charge in increments of 5%. If the test drive does not cover the vehicle's entire state of charge, the number of categories is correspondingly lower. With respect to temperature, a number of categories would similarly arise.
- the method preferably has a large number of simulation loops 110a .
- a simulation loop can be performed for each of the steps of the categories.
- the number of maximum simulation loops thus corresponds to the product of the number of steps in each of the categories together. For example, with ten steps in the categorization according to temperature and 20 steps in the categorization according to the state of charge, a maximum of 200 simulation loops 110a, . . . , 11 On would be executed for a measurement run.
- electrical parameters of the vehicle battery model such as an open circuit voltage and a charge capacity, an internal resistance, an RC resistance and an RC capacity for the charging and discharging situation, are optimized.
- the determined battery parameters are output after each loop and combined with determined battery parameters from other loops and finally taken into account in the vehicle battery model.
- the vehicle battery is first simulated with the vehicle battery model M in a second work step S2.
- Battery parameters and other physical properties of the vehicle battery go into the vehicle battery model M.
- the vehicle battery model M depends on these quantities.
- the other physical properties of the vehicle battery are preferably the battery temperature and the state of charge. At least one value of the terminal voltage is output as the target variable of this simulation.
- step S3 which is also part of the first simulation loop 110a, the at least one value of the terminal voltage measured in step S2 is compared with the values of the terminal voltage simulated in step S2.
- a fourth work step S4 the vehicle battery model M is adjusted in order to ensure that the values of the simulated terminal voltage parameter are as similar as possible to the values of the terminal voltage measured in the road measurement. Values of the battery parameters are preferably adjusted for this.
- each of the simulation loops 110a, . . . , 110n generates local battery parameters according to their respective categorization.
- the termination condition is specified in particular by an optimization problem.
- the termination condition is the achievement of a local or absolute minimum of a deviation between the simulated terminal voltage, in the case of the first simulation loop 110 the terminal voltage present during discharging, and the terminal voltage calculated on the basis of the road measurement.
- a termination condition can be reaching a limit value of the simulated parameter, in particular when the parameter changes only infinitesimally.
- step S4a the local battery parameters are collected and combined.
- the optional step S4a is basically carried out in the event that a categorization of the recorded measured values was carried out beforehand.
- a fifth work step S5 the values for the battery parameters of the vehicle battery model M are output to the vehicle battery model M, so that the values for the battery parameters in the vehicle battery model M can be taken into account.
- the vehicle battery model M forms a superset according to the categorization.
- the method If only steps S1, S2, S3, S4 and S5 are carried out with only one simulation loop 110a and the optional steps S1a, S1b and S4a are omitted, the method generates a virtual prototype of a vehicle battery, which is not a superset of different parameters, but only has a general set of parameters.
- FIG. 2 shows the structure of a high-voltage battery as used in vehicle batteries.
- the smallest unit of the high-voltage battery is a cell (cell) 22, which forms a single battery unit. If several cells 22 are connected in series, they form a strand (string) 24 When string 24 is connected in series, voltages are added to form a total voltage.
- a module 26 is a parallel connection of several strands 24. The parallel connection adds the capacities of the individual strands to form a total capacity. Several modules 26 can be combined to form a pack 28 by connecting them in series and/or in parallel. Each of the cell 22, string 24, module 26 and pack 28 units has only two connections.
- a vehicle battery consists of one or more packs 28.
- FIG. 3 shows a circuit diagram of an electrical equivalent model 30 for simulating a vehicle battery.
- the system boundary 31 of the substitute model 30 encloses.
- a current 36 flows through the terminals 37. Between the terminals 37 there is a terminal voltage 38 on.
- the no-load voltage 32, the internal resistance 33, the RC resistance 34 and the RC capacitance 35 can basically be functions of the state of charge and the temperature of the vehicle battery.
- FIG. 4 shows an exemplary embodiment of a system 10 for generating a virtual prototype of a vehicle battery based on data from road measurements, which system has means 11, 12, 13, 14 and 15 for parameterizing the vehicle battery model M of the virtual prototype.
- the means n, 12, 13, 14 and 15 for parameterization are here, set up by in particular cascaded software-in-the-loop simulation, based on measured values of the road measurement, values of the battery parameters of the vehicle battery model M in simulation loops in which electrical Parameters of the vehicle battery model M are optimized, to be determined iteratively one after the other by comparing simulated parameter values with parameter values calculated using the road measurement.
- the system 10 is set up to carry out a method SO according to FIG.
- the system 10 provides for this Means 11 for calculating at least one value for a terminal voltage on the basis of measured variable values recorded during a measurement run.
- system 10 preferably has means 12 for simulating the vehicle battery with a vehicle battery model M, with at least the following battery parameters of the vehicle battery being included in the vehicle battery model M:
- the battery temperature and the state of charge of the vehicle battery can be included in the battery model M.
- the system 10 comprises means 13 for comparing the at least one value of the terminal voltage calculated on the basis of the road measurements with the values of the simulated terminal voltage.
- the system 10 comprises means 14 for adapting the vehicle battery model M in order to adapt the simulated terminal voltage to the terminal voltage calculated on the basis of the road measurement by changing the values of the battery parameters.
- the battery parameters include an open circuit voltage, a charge capacity when charging, a charge capacity when discharging, an internal resistance when charging, an internal resistance when discharging, an RC resistance when charging, an RC resistance when discharging, an RC capacitance when charging, and an RC capacity when discharging
- system 10 preferably has an interface 15 for outputting values for battery parameters of the vehicle battery model M. wherein the means for parameterization are set up to adapt the vehicle battery model M until a termination condition is reached.
- the means n, 12, 13, 14 and 15 of the system 10 are preferably part of a data processing system.
- the method SO is preferably carried out automatically and/or in a computer-implemented manner by such a data processing system.
- the indicated means 11, 12, 13, 14 and 15 are in particular also set up to execute the second simulation loop 120 and the third simulation loop 130 of the method SO.
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Geometry (AREA)
- Sustainable Energy (AREA)
- Transportation (AREA)
- Power Engineering (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Secondary Cells (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Tests Of Electric Status Of Batteries (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ATA51015/2021A AT525786B1 (de) | 2021-12-17 | 2021-12-17 | Verfahren zum Erzeugen eines virtuellen Prototyps einer Fahrzeugbatterie |
| PCT/AT2022/060447 WO2023108189A1 (de) | 2021-12-17 | 2022-12-16 | Verfahren zum erzeugen eines virtuellen prototyps einer fahrzeugbatterie |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4449292A1 true EP4449292A1 (de) | 2024-10-23 |
Family
ID=84981748
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP22843995.6A Pending EP4449292A1 (de) | 2021-12-17 | 2022-12-16 | Verfahren zum erzeugen eines virtuellen prototyps einer fahrzeugbatterie |
Country Status (7)
| Country | Link |
|---|---|
| EP (1) | EP4449292A1 (de) |
| JP (1) | JP2025504629A (de) |
| KR (1) | KR20240119129A (de) |
| CN (1) | CN118661172A (de) |
| AT (1) | AT525786B1 (de) |
| DE (1) | DE112022004145A5 (de) |
| WO (1) | WO2023108189A1 (de) |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100494937B1 (ko) * | 2003-07-07 | 2005-06-13 | 현대자동차주식회사 | 하이브리드 전기 차량의 배터리 시스템 시뮬레이션 장치 |
| DE102010062838A1 (de) * | 2010-12-10 | 2012-06-14 | Dspace Digital Signal Processing And Control Engineering Gmbh | Echtzeitfähige Batteriezellensimulation |
| CN103870637B (zh) * | 2014-02-25 | 2017-02-01 | 奇瑞汽车股份有限公司 | 汽车电源系统仿真方法和装置 |
| CN206990762U (zh) * | 2017-05-11 | 2018-02-09 | 广州市锦叡新能源科技有限公司 | 一种车用电池工况模拟测试系统 |
| CN112285564A (zh) * | 2019-07-22 | 2021-01-29 | 华北电力大学(保定) | 一种用于非车载充电机现场检测的电动汽车电池模拟系统设计方法 |
| DE102019121461B3 (de) * | 2019-08-08 | 2020-12-24 | TWAICE Technologies GmbH | Simulation einer Batterie |
-
2021
- 2021-12-17 AT ATA51015/2021A patent/AT525786B1/de active
-
2022
- 2022-12-16 DE DE112022004145.5T patent/DE112022004145A5/de active Pending
- 2022-12-16 EP EP22843995.6A patent/EP4449292A1/de active Pending
- 2022-12-16 WO PCT/AT2022/060447 patent/WO2023108189A1/de not_active Ceased
- 2022-12-16 KR KR1020247023127A patent/KR20240119129A/ko active Pending
- 2022-12-16 JP JP2024534752A patent/JP2025504629A/ja active Pending
- 2022-12-16 CN CN202280091235.9A patent/CN118661172A/zh active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| AT525786B1 (de) | 2023-10-15 |
| KR20240119129A (ko) | 2024-08-06 |
| JP2025504629A (ja) | 2025-02-14 |
| DE112022004145A5 (de) | 2024-06-13 |
| WO2023108189A1 (de) | 2023-06-22 |
| CN118661172A (zh) | 2024-09-17 |
| AT525786A1 (de) | 2023-07-15 |
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