Due to the significant influence of temperature on battery charging and discharging performance, exact evaluation of state of charge (SOC) under complex temperature environment becomes increasingly important. This paper develops an advanced framework to estimate the SOC for lithium‐ion batteries with consideration of temperature variation. First, an accurate electrical model with wide temperature compensation is established, and a series of experiments are carried out under wide range time‐varying temperature from −20°C to 60°C. Then, the genetic algorithm is leveraged to identify the temperature‐dependent model parameters. On this basis, the battery SOC is accurately estimated based on the square root cubature Kalman filter algorithm. Finally, the availability of the proposed method at different temperatures is validated through a complicated mixed working cycle test, and the experimental results manifest that the devised framework can accurately evaluate SOC under wide time‐varying temperature range with the maximum error of less than 2%.

中文翻译：

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宽工作温度范围内基于平方根库曼卡尔曼滤波器的锂离子电池荷电状态估算框架

由于温度对电池充电和放电性能的重大影响，因此在复杂温度环境下准确评估充电状态（SOC）变得越来越重要。本文建立了一个先进的框架来考虑温度变化来估算锂离子电池的SOC。首先，建立了具有宽温度补偿的精确电气模型，并在-20°C至60°C的宽时变温度范围内进行了一系列实验。然后，利用遗传算法来识别温度相关的模型参数。在此基础上，可基于平方根库尔曼卡尔曼滤波算法准确估算电池SOC。最后，