在离子电池应用中基于变量定理的不确定初始化SOC估计技术
Ziheng Zhou1, Chaolong Zhang1, Shi Chen1
1College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, Jiangsu, China.
ACS omega
|September 8, 2025
概括
本研究引入了一种新方法,可以准确初始化离子 (Li-ion) 电池的充电状态 (SOC),即使有内部变化. 变量初始化EKF (VIEKF) 提高了电池管理系统的可靠性和性能,特别是在运行开始时.
科学领域:
- 电池技术 电池技术
- 国家估计.
- 控制系统 控制系统
背景情况:
- 准确的电荷状态 (SOC) 估计对于可靠的离子 (Li-ion) 电池运行至关重要.
- 电池组内部的内部变化可能导致不确定的初始SOC值,影响性能.
- 现有的方法在不确定的SOC初始化中扎.
研究的目的:
- 为了应对离子电池组中不确定的SOC初始化的挑战.
- 提出一种新的方法来获得不偏见的SOC初始预期.
- 提高SOC估计的准确性和可靠性,特别是在电池使用的早期阶段.
主要方法:
- 将变量定理与扩展的卡尔曼波器 (EKF) 算法结合起来.
- 利用向后光滑技术从当前的观测中获得无偏的初始化SOC预期.
- 实施变量初始化技术来更新不确定的SOC设置.
主要成果:
- 拟议的变量初始化EKF (VIEKF) 显著提高了SOC估计性能,特别是在初始时刻.
- 使用实验室数据,CALCE开放访问数据和电动汽车 (EV) 应用程序的实验结果验证了该技术的有效性.
- 在处理不确定的SOC初始化方面,VIEKF表现出优于其他改进的EKF算法.
结论:
- 开发的VIEKF方法有效地解决了离子电池中SOC初始化不确定性的问题.
- 该技术增强了真实SOC值的跟踪,从而提高了估计准确度.
- 这一进步有助于在各种应用中更可靠,更有效地利用离子电池.
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