This paper presents an improved scheme for the state-of-health (SOH) estimation, applicable to battery management system (BMS) of electric vehicles. The original scheme requires the prior information for the estimation, which is the prior SOH identified from the last charging. This limit implies that if a battery or its BMS is replaced, the prior SOH stored within the BMS no longer matches with the actual SOH, resulting in a critical error. To avoid this potential but critical pitfall, we newly devise an improved SOH estimation scheme. The original scheme is revised by adopting the fixed-point iteration method into its parameter estimation. By removing dependencies on the prior information, the revised scheme can function regardless of such replacements. The revised scheme is experimentally validated and demonstrated that even without the prior information, it can satisfy the requirement of the SOH estimation (within 3%) thanks to its improved design.

本文提出了一种适用于电动汽车电池管理系统（BMS）的健康状态（SOH）估计的改进方案。原始方案需要先验信息进行估算，这是从上一次计费中识别出的先验SOH。此限制意味着，如果更换电池或其BMS，则BMS中存储的先前SOH将不再与实际SOH匹配，从而导致严重错误。为了避免这种潜在但关键的陷阱，我们新设计了一种改进的SOH估计方案。通过将定点迭代方法用于其参数估计来修改原始方案。通过消除对先验信息的依赖性，修订后的方案可以起作用，而不管这种替换如何。