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Battery temperature prediction method and system

A prediction method and battery temperature technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of simple temperature estimation model, low reliability, high computational complexity, etc., to achieve high-precision temperature prediction and improve Accuracy and reliability, the effect of low computational complexity

Active Publication Date: 2021-11-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Application Information

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Problems solved by technology

[0003] Most of the existing battery temperature estimation methods rely on high-complexity multi-physics field coupling models, which describe the particle thermodynamic process inside the battery clearly and in detail through a series of partial differential equations. Although the accuracy is high, the calculation The complexity is extremely high, and it can only be realized through a dedicated high-performance server, and the practicability is not strong
The temperature estimation model used in other battery temperature estimation methods is too simple and ignores many obvious thermal effects. Although the calculation is simple, the accuracy is poor, the adaptability to working conditions is weak, and the reliability is low.

Method used

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  • Battery temperature prediction method and system

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Embodiment 1

[0027] Most of the battery temperature estimation models used in the existing embedded battery management systems are extremely simple lumped parameter models, ignoring many obvious thermal effects. Although the calculation is simple, the accuracy is poor and the reliability is low. In view of this problem, this embodiment improves the existing lumped parameter model, fully considers the influence of heat conduction delay, heat radiation and irreversible heat, conducts targeted modeling research, and obtains the lumped parameter electrothermal coupling model, In order to effectively improve the accuracy and reliability of battery temperature estimation.

[0028] Such as figure 1 As shown, a battery temperature prediction method provided in this embodiment includes:

[0029] S1: Calculate the total power of heat generation and total power of heat dissipation according to the model parameters; the model parameters are the model parameters of the lumped parameter electrothermal ...

Embodiment 2

[0114] This embodiment is used to provide a battery temperature prediction system, such as Figure 5 As shown, the forecasting system includes:

[0115] The calculation module M1 is used to calculate the total power of heat generation and the total power of heat dissipation according to the model parameters; the model parameters are the model parameters of the lumped parameter electrothermal coupling model corresponding to the battery; the model parameters include ohmic resistance, electrochemical polarization resistance , concentration polarization resistance and thermal effect related parameters;

[0116] The delay module M2 is used to calculate the total delayed heat generation power and the delayed total heat dissipation power after heat conduction delay based on the heat conduction delay principle according to the total heat generation power and the total heat dissipation power;

[0117] The prediction module M3 is configured to use the total heat generation power, the t...

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Abstract

The invention relates to a battery temperature prediction method and system, and the method comprises the steps: firstly building a lumped parameter electrothermal coupling model corresponding to a battery, calculating the heat generation total power and the heat dissipation total power according to the model parameters of the model, and then according to the heat generation total power and the heat dissipation total power, calculating the total delayed heat generation power and the total delayed heat dissipation power after heat conduction delay based on a heat conduction delay principle, and finally calculating the battery temperature at the next moment by taking the total heat generation power, the total heat dissipation power, the total delayed heat generation power and the total delayed heat dissipation power as input and utilizing a heat balance equation. The built lumped parameter electrothermal coupling model fully considers the obvious thermal effect and the influence of heat conduction delay, the precision and reliability of battery temperature prediction can be effectively improved, and compared with a method for estimating the battery temperature by using a high-complexity multi-physical field coupling model, the calculation complexity is low. Therefore, high-precision prediction of the temperature can be realized while low calculation complexity is maintained.

Description

technical field [0001] The invention relates to the technical field of battery temperature prediction, in particular to a battery temperature prediction method and system. Background technique [0002] The safety issue of electric vehicles is attracting widespread attention worldwide. In recent years, various spontaneous combustion accidents of electric vehicles have occurred frequently, and the thermal failure of the vehicle power battery is considered to be the main cause. In order to reduce the risk of accidents, the battery system must be constantly supervised and thermally managed efficiently. An effective thermal management strategy requires reliable temperature prediction and estimation as auxiliary information to formulate precise and reliable thermal safety control measures. [0003] Most of the existing battery temperature estimation methods rely on high-complexity multi-physics coupling models, which describe the particle thermodynamic process inside the battery ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/374
CPCG01R31/374Y02E60/10
Inventor 谢家乐李增超姚天琪
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)