【摘要】 为了验证锂离子电池在长期使用中的性能，需要对锂离子电池进行寿命测试。现阶段锂离子电池寿命一般长达数千循环，进行常规寿命测试十分耗时，需要开发加速寿命的实验方法。由于锂离子电池寿命衰减具有对使用路径的依赖性，因此设计该加速寿命实验方法的约束是：既要保证加速前后总容量衰减的等价性，还要保证内部衰减机理即老化路径的不变性。该文提出一套基于模型的可保证上述约束的加速寿命工况自动生成方法。方法设计了综合考虑加速因子（加速时间倍率）和老化路径相对误差两个指标的目标函数，并采用双闭环构架求取符合该目标函数的加速工况最优解。双闭环的外环为加速因子优化算法，旨在寻找最优的加速时间倍率；内环为加速工况搜索算法，旨在搜索对应于加速因子和上述约束的最优加速工况。针对中国轻型汽车行驶工况中的乘用车行驶工况，该文方法基于作者研发的考虑锂离子电池主导衰减机理的半经验分数阶模型进行仿真，仿真结果证明了方法的有效性。更多还原

【Abstract】 The lithium-ion battery(LiB) requires an aging test to ensure its reliability during long-term use. The conventional aging test is very time-consuming because the current LiB life span is thousands of cycles. Therefore, an accelerated aging test method for LiB is needed. The degradation of the LiB is path-dependent. Therefore, the constraints of designing this accelerated aging test method are: to ensure both the equivalence of LiB capacity and the invariance of its internal degradation mechanism. This paper proposes a model-based method for generating an accelerated aging profile. The objective function considering the acceleration factor and the relative error of the aging path is constructed, and the optimal solution of the objective function is obtained by a double closed-loop architecture. In the double closed-loop architecture, the outer loop is an acceleration factor optimization algorithm that aims to find the optimal acceleration factor; the inner loop is an acceleration profile search algorithm, aiming to search the optimal acceleration profile under a given acceleration factor. The accelerated aging profile of the China light-duty vehicle test cycle-passenger car(CLTC-P) is generated under the given objective function based on the proposed method. The simulation is carried out based on the semi-empirical fractional-order model considering the dominant degradation mechanism of the LiB developed by the authors, which verifies the effectiveness of the method.更多还原