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Advanced cell-level control for extending electric vehicle battery pack lifetime

机译:先进的电池级控制可延长电动汽车电池组的使用寿命

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A cell-level control approach for electric vehicle battery packs is presented that enhances traditional battery balancing goals to not only provide cell balancing but also achieve significant pack lifetime extension. These goals are achieved by applying a new life-prognostic based control algorithm that biases individual cells differently based on their state of charge, capacity and internal resistance. The proposed life control approach reduces growth in capacity mismatch typically seen in large battery packs over life while optimizing usable energy of the pack. The result is a longer lifetime of the overall pack and a more homogeneous distribution of cell capacities at the end of the first life for vehicle applications. Active cell balancing circuits and associated algorithms are used to accomplish the cell-level life extension objectives. This paper presents details of the cell-level control approach, selection and design of the active balancing system, and low-complexity state-of-charge, capacity, and series-resistance estimation algorithms. A laboratory prototype is used to demonstrate the proposed control approach. The prototype consists of twenty-one 25 Ah Panasonic lithium-Ion NMC battery cells from a commercial electric vehicle and an integrated BMS/DC-DC system that provides 750 W to the vehicle low voltage auxiliary loads.
机译:提出了一种用于电动车辆电池组的电池级控制方法,该方法增强了传统的电池平衡目标,不仅可以提供电池平衡,而且还可以显着延长电池组的使用寿命。这些目标是通过应用一种基于寿命预测的新控制算法来实现的,该算法根据单个电池的荷电状态,容量和内部电阻来对单个电池进行不同的偏置。所提出的寿命控制方法减少了大型电池组在整个生命周期中通常会出现的容量失配的增长,同时优化了电池组的可用能量。结果是整个包装的使用寿命更长,并且在车辆应用的第一次使用寿命结束时,电池容量的分布更加均匀。有源电池平衡电路和相关算法用于实现电池级寿命延长目标。本文详细介绍了电池级控制方法,主动平衡系统的选择和设计以及低复杂度的荷电状态,容量和串联电阻估计算法。一个实验室原型被用来证明所提出的控制方法。该原型机由来自商用电动汽车的21个25 Ah Panasonic锂离子NMC电池单元和集成的BMS / DC-DC系统组成,该系统可为车辆提供750 W的低压辅助负载。

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