scholarly journals Heating Detection and Temperature Control Method of Power Lithium Battery in Pure Electric Vehicle

CONVERTER ◽  
2021 ◽  
pp. 01-08
Author(s):  
Guanqiang Ruan Et al.

For the power battery of electric vehicles, especially pure electric vehicles, there is no perfect and comprehensive detection system and management system in the production and use links. By analyzing the working principle, structure and electrochemical characteristics of lithium-ion battery, the heat generation mechanism of lithium-ion battery was studied. In this paper, the factors that affect the temperature characteristics of Li ion battery are described, and the corresponding relationship between the temperature rise of the battery and the ambient temperature is established. At the same time, the optimal temperature range of the battery pack discharge efficiency is determined. In this paper, the thermal effect model and heat generation rate model of lithium-ion battery are established, and then the thermal conductivity, specific heat capacity, density and other parameters of the thermal model are calculated. Finally, the initial and boundary conditions of the thermal model are determined, the simulation of heat generation temperature field is realized, and the temperature distribution of the battery after heat generation is obtained. In this paper, the flow mode of air is analyzed, and the fluid structure coupling model of battery air is established. Finally, the thermal field of the battery pack is simulated by setting the solver mode and boundary conditions, which makes a theoretical analysis for the preliminary design of the temperature control battery box. The test results show that the method proposed in this paper can meet the technical requirements of power lithium battery heating management of pure electric vehicles..

Measurement ◽  
2019 ◽  
Vol 131 ◽  
pp. 443-451 ◽  
Author(s):  
Yujie Wang ◽  
Jiaqiang Tian ◽  
Zonghai Chen ◽  
Xingtao Liu

2018 ◽  
Vol 136 ◽  
pp. 198-208 ◽  
Author(s):  
Liu Yun ◽  
Duy Linh ◽  
Li Shui ◽  
Xiongbin Peng ◽  
Akhil Garg ◽  
...  

2021 ◽  
Vol 2083 (2) ◽  
pp. 022071
Author(s):  
Qingyuan Fang

Abstract Aiming at the uneven heat generation in various parts of the electric vehicle lithium battery pack during the discharge process, the heat generation mechanism is studied, and the lithium battery catalytic performance model is established to obtain the current density and heat generation rate distribution law of the lithium battery cell on the cell. The thermal model can simulate the thermal behavior of the battery under application conditions. Study the laws of battery heat production, heat transfer, and heat dissipation, and calculate the temperature changes inside and on the battery and the temperature field information in real time to provide a basis for the design and optimization of the battery and battery pack thermal management system. The simulation results show that the established model can predict the heating distribution and temperature field of the internal layered structure of the lithium-ion battery, which is helpful for the subsequent analysis of key influencing factors.


Author(s):  
Xiangping Liao ◽  
Chong Ma ◽  
Xiongbin Peng ◽  
Akhil Garg ◽  
Nengsheng Bao

Electric vehicles have become a trend in recent years, and the lithium-ion battery pack provides them with high power and energy. The battery thermal system with air cooling was always used to prevent the high temperature of the battery pack to avoid cycle life reduction and safety issues of lithium-ion batteries. This work employed an easily applied optimization method to design a more efficient battery pack with lower temperature and more uniform temperature distribution. The proposed method consisted of four steps: the air-cooling system design, computational fluid dynamics code setups, selection of surrogate models, and optimization of the battery pack. The investigated battery pack contained eight prismatic cells, and the cells were discharged under normal driving conditions. It was shown that the optimized design performs a lower maximum temperature of 2.7 K reduction and a smaller temperature standard deviation of 0.3 K reduction than the original design. This methodology can also be implemented in industries where the battery pack contains more battery cells.


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