scholarly journals Thermal Simulation of Power Lithium-ion Battery Module

2021 ◽  
Vol 233 ◽  
pp. 01028
Author(s):  
Fancong Zeng ◽  
Zhijiang Zuo ◽  
Han Li ◽  
Libo Pan

Thermal management of power lithium-ion battery modules is very important to avoid thermal problems such as overheating and out of control, the study of thermal behavior of battery modules can provide guidance for the design and optimization of modules and thermal management. In this paper, a 3d thermal model of the power lithium-ion battery module is established based on STARCCM+ by using computational fluid dynamics (CFD) method, and a grid independence simulation test is used to determine the number of grids, the temperature distribution is analyzed under the condition of 1C charge current. The research results show that the internal temperature rises gradually with the charge going on, the temperature distribution of the cells is basically symmetrical. When the heat transfer coefficient is 5W/(m2⋅K) and the natural convective air inlet temperature is 300K, the module temperature uniformity is good. But because of the maximum temperature slightly higher than the temperature of thermal runaway, additional cooling methods need to be considered to cool the battery.

Author(s):  
Siqi Chen ◽  
Nengsheng Bao ◽  
Xiongbin Peng ◽  
Akhil Garg ◽  
Zhanglin Chen

Abstract The appropriate temperature distribution is indispensable to lithium-ion battery module, especially during the fast charging of the sudden braking process. Thermal properties of each battery cell are obtained from numerical heat generation model and experimental data, and the deviation of thermophysical performance is analyzed by K-means clustering and hierarchical clustering to select battery cells with similar performance. Thermal performance of lithium-ion cells under different charging rates is investigated in experiments and the effects of different mini-channel designs discussed using numerical simulation, maximum temperature, maximum pressure, and temperature standard deviation are compared by both numerical calculation and experimental validation. Two kinds of cooling plates are selected, considering the uniformity of temperature distribution and energy consumption, respectively. All of these cooling plate designs have the ability to constrain the maximum temperature and temperature standard deviation within 306 K and 1.2 K, respectively. Additionally, this thermal management system does not need too much energy consumption. In experimental validation, deviation of maximum temperature is measured to be within 2.2 K and difference of temperature standard deviation is also within tolerance.


Batteries ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Seyed Saeed Madani ◽  
Erik Schaltz ◽  
Søren Knudsen Kær

Thermal analysis and thermal management of lithium-ion batteries for utilization in electric vehicles is vital. In order to investigate the thermal behavior of a lithium-ion battery, a liquid cooling design is demonstrated in this research. The influence of cooling direction and conduit distribution on the thermal performance of the lithium-ion battery is analyzed. The outcomes exhibit that the appropriate flow rate for heat dissipation is dependent on different configurations for cold plate. The acceptable heat dissipation condition could be acquired by adding more cooling conduits. Moreover, it was distinguished that satisfactory cooling direction could efficiently enhance the homogeneity of temperature distribution of the lithium-ion battery.


2021 ◽  
Vol 198 ◽  
pp. 117503 ◽  
Author(s):  
Mohsen Akbarzadeh ◽  
Theodoros Kalogiannis ◽  
Joris Jaguemont ◽  
Lu Jin ◽  
Hamidreza Behi ◽  
...  

RSC Advances ◽  
2017 ◽  
Vol 7 (68) ◽  
pp. 42909-42918 ◽  
Author(s):  
Ziyuan Wang ◽  
Xinxi Li ◽  
Guoqing Zhang ◽  
Youfu Lv ◽  
Cong Wang ◽  
...  

In battery thermal cycle tests PCM 3 prolonged the service life of PCM because the epoxy can effectively prevent leakage of paraffin during phasing change.


2019 ◽  
Vol 145 (1) ◽  
pp. 04018072 ◽  
Author(s):  
Zhiguo Tang ◽  
Xiaoteng Min ◽  
Anqi Song ◽  
Jianping Cheng

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Xinxi Li ◽  
Zhaoda Zhong ◽  
Jinghai Luo ◽  
Ziyuan Wang ◽  
Weizhong Yuan ◽  
...  

Electric vehicles (EVs) powered by lithium batteries, which are a promising type of green transportation, have attracted much attention in recent years. In this study, a thermoelectric generator (TEG) coupled with forced convection (F-C) was designed as an effective and feasible cooling system for a battery thermal management system. A comparison of natural convection cooling, F-C cooling, and TEG cooling reveals that the TEG is the best cooling system. Specifically, this system can decrease the temperature by 16.44% at the discharge rate of 3C. The coupled TEG and F-C cooling system can significantly control temperature at a relatively high discharge rate. This system not only can decrease the temperature of the battery module promptly but also can reduce the energy consumption compared with the two other TEG-based cooling systems. These results are expected to supply an effective basis of the design and optimization of battery thermal management systems to improve the reliability and safety performance of EVs.


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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