科学技术与工程
中国技术经济学会
锂离子电池荷电状态与健康状态联合估计策略研究综述
Review of Joint SOC and SOH Estimation Strategies for Lithium-ion Battery
电池的荷电状态（state of charge, SOC）和健康状态（state of health, SOH）作为电动汽车动力电池的重要指标，准确估计SOC与SOH对确保电动汽车运行高效、安全以及稳定有着重要意义。由于SOC与SOH之间有着耦合关系，单独估计SOC或SOH都会造成估计精度的影响，因此联合估计SOC与SOH是当前迫切需要解决的问题。联合估计策略主要分为基于模型方法、数据驱动方法以及混合方法，并对每类方法进行了分析与总结，最后阐述了SOC与SOH联合估计的发展趋势。
State of charge (SOC) and state of health (SOH) of battery are significant indicators of electric vehicle power battery, and to guarantee effective, safe, and steady operation of electric vehicles, precise SOC and SOH estimate is crucial. Due to the coupling relationship between SOC and SOH, the estimation precision of SOC or SOH alone will be affected, so the joint estimation of SOC and SOH is an urgent problem to be solved. The joint estimation strategies were mainly divided into model-based methods, data-driven methods and mixed methods, and each type of methods was analyzed and summarized. Finally, the development trend of SOC and SOH joint estimation was described.
state of charge / state of health / power battery / joint estimation
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