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

IEEE Energy Conversion Congress and Exposition(2016)

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摘要
A cell-level control approach for electric vehicle battery 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.
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关键词
low voltage auxiliary loads,integrated BMS-DC-DC system,Panasonic lithium-ion NMC battery cells,series-resistance estimation algorithms,low-complexity state-of-charge,active cell balancing circuits,energy optimization,capacity mismatch,internal resistance,life-prognostic based control algorithm,electric vehicle battery pack lifetime,advanced cell-level control,power 750 W
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