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Research on SOC Estimation and Control Strategy Optimization Methods for Power Batteries of New Energy Vehicles
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Huating Pang1, Jiangning Zhu2, Gang Li1, Fuhui Chen1
Automotive Digest | 2026, (9) : 43 - 49
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Automotive Digest | 2026, (9): 43-49
• Special Topic on Automotive Chip Technology •
Research on SOC Estimation and Control Strategy Optimization Methods for Power Batteries of New Energy Vehicles
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Huating Pang1, Jiangning Zhu2, Gang Li1, Fuhui Chen1
Affiliations
  • 1.Liaoning University of Technology, Jinzhou 121001
  • 2.Chaoyang Normal University, Chaoyang 122000
Published: 2026-09-05 doi: 10.19822/j.cnki.1671-6329.20250060
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Aiming at the low accuracy of State of Charge (SOC) estimation and poor adaptability of control strategies under dynamic working conditions for power batteries of new energy vehicles, a multi-model fusion SOC estimation framework integrating Kalman Filtering (KF), Particle Filtering (PF) and Long Short-Term Memory (LSTM) neural network is constructed. Dynamic charging and discharging management strategies based on genetic algorithm and particle swarm optimization are designed. A power battery test platform covering multiple temperatures and charge-discharge rates is built, and simulations and physical tests are carried out under standard UDDS and WLTC working conditions. The test results show that the root mean square error of SOC estimation of the proposed method is reduced to 0.013 5, the battery charge-discharge efficiency is increased by 9.3%, and the maximum discharge current is reduced by 23.7%. The proposed method can slow down battery capacity attenuation and reduce thermal runaway risk, which provides theoretical support and engineering reference for the optimization of battery management systems.

New energy vehicles  /  Power battery  /  SOC estimation  /  Particle filter  /  LSTM neural network  /  Charge and discharge control  /  Thermal management optimization
庞华廷, 朱江宁, 李刚, 陈福辉. 新能源汽车动力电池SOC估算与控制策略优化方法研究. 汽车文摘, 2026 , (9) : 43 -49 . DOI: 10.19822/j.cnki.1671-6329.20250060
Huating Pang, Jiangning Zhu, Gang Li, Fuhui Chen. Research on SOC Estimation and Control Strategy Optimization Methods for Power Batteries of New Energy Vehicles[J]. Automotive Digest, 2026 , (9) : 43 -49 . DOI: 10.19822/j.cnki.1671-6329.20250060
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Year 2026 volume Issue 9
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doi: 10.19822/j.cnki.1671-6329.20250060
  • Online Date：2026-09-23
  • Published：2026-09-05
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Affiliations
    1.Liaoning University of Technology, Jinzhou 121001
    2.Chaoyang Normal University, Chaoyang 122000
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https://castjournals.cast.org.cn/joweb/qcwz/EN/10.19822/j.cnki.1671-6329.20250060
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