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Fast Prediction of Battery Pack Safety Under Side Pole Collision
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Chenghao Ma1, Jonghyeon Shin1, Jun Wang2, Wenhong Ao3, Bobin Xing1, Yong Xia1
Automotive Engineering | 2025, 47(1) : 117 - 126
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Automotive Engineering | 2025, 47(1): 117-126
Fast Prediction of Battery Pack Safety Under Side Pole Collision
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Chenghao Ma1, Jonghyeon Shin1, Jun Wang2, Wenhong Ao3, Bobin Xing1, Yong Xia1
Affiliations
  • 1. Tsinghua University，National Key Laboratory of Intelligent Green Vehicles and Transportation，Beijing 100084
  • 2. China Automotive Engineering Research Institute，Chongqing 401122
  • 3. Changchun University of Science and Technology，Changchun 130022
Published: 2025-01-25 doi: 10.19562/j.chinasae.qcgc.2025.01.012
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In order to conduct more comprehensive safety analysis of electric cars in side pole collision scenarios，in the paper a locally refining scheme is used to build the finite element model of battery pack，which is applied to simulation at both the whole car and the battery pack levels. Based on accident statistics，the side pole collision responses of the car are examined by changing the impact positions，angles and collision speed，including the conditions defined in the national standards. Considering the high cost of the whole car simulation，a parameterized model of battery pack level is established by adjusting collision speed and mass compensation for large-scale side pole collision simulation. A fast prediction model based on the energy method is proposed for battery pack level collision safety，which can predict the deformation and mechanical failure risk in real time under different side pole impact conditions. The model is validated with an average prediction error of 3.22%.

battery pack  /  crash safety  /  side pole impact  /  finite element simulation  /  fast prediction
Chenghao Ma, Jonghyeon Shin, Jun Wang, Wenhong Ao, Bobin Xing, Yong Xia. Fast Prediction of Battery Pack Safety Under Side Pole Collision[J]. Automotive Engineering, 2025 , 47 (1) : 117 -126 . DOI: 10.19562/j.chinasae.qcgc.2025.01.012
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.01.012
  • Receive Date：2024-06-07
  • Online Date：2025-07-20
  • Published：2025-01-25
Article Data
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History
  • Received：2024-06-07
  • Revised：2024-07-19
Funding
Affiliations
    1. Tsinghua University，National Key Laboratory of Intelligent Green Vehicles and Transportation，Beijing 100084
    2. China Automotive Engineering Research Institute，Chongqing 401122
    3. Changchun University of Science and Technology，Changchun 130022
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.01.012
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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