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Lifetime optimized charging strategy of Li-ion cells based on daily driving cycle of electric two-wheelers

机译:基于电动双轮的日驾驶循环的锂离子电池寿命优化充电策略

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摘要

Especially for electric two-wheelers (E2Ws), battery lifetime is a key challenge compared to electric vehicles (EVs) due to the lower battery capacity and thus higher cell-specific currents. This study therefore introduces an optimization framework for day-to-day routes in the metropolis of Shanghai with heavily frequented E2W traffic. The optimization aims at prolonging battery lifetime while not restricting the driver in their driving and usage behavior. This framework is based on accelerated aging tests of LMO cells as well as approximated battery aging and E2W powertrain models. Latter are applied to a typical driving profile of Shanghai. Central aim of the proposed framework is to identify relevant cycles and to optimize charging profiles under consideration of SOC constraints in order to extend battery lifetime. Both factors, targeted SOC and charging profiles, are known to have a significant impact on aging. Results are presented for different lengths of the driving cycle, initial SOCs, and temperatures and a heuristic charging rule is derived. One optimization scenario is validated by applying the optimal charging profile to typical cells used for E2W and by exploiting the targeted SOC as additional degree of freedom. The results are compared to a conventional strategy. Lifetime predictions expect a lifetime prolongation of half a year.
机译:特别是对于电动两轮车(E2WS),电池寿命与由于电池容量较低的电动车辆(EVS)相比,电池寿命是一个关键挑战,并且因此更高的细胞特异性电流。因此,本研究介绍了上海大都市日常航线的优化框架,具有严重频繁的E2W流量。优化旨在延长电池寿命,同时不会在其驾驶和使用行为中限制驾驶员。该框架基于LMO电池的加速老化试验以及近似的电池老化和E2W动力总成模型。后者适用于上海的典型驾驶轮廓。所提出的框架的核心目标是识别相关周期,并在考虑SOC限制下优化充电型材,以延长电池寿命。众所周知,两个因素,有针对性的SOC和充电型材对老化产生了重大影响。结果显示出不同长度的驾驶循环,初始SoC和温度,并且推导出启发式充电规则。通过将最佳充电轮廓应用于用于E2W的典型单元,并通过将目标SOC作为额外的自由度利用所针对的自由度来验证一个优化方案。结果与传统策略进行比较。终身预测期望终身延长半年。

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