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Zone Model Predictive Control for Battery Thermal Management including Battery Aging and Brake Energy Recovery in Electrified Powertrains

机译:电池热管理区域模型预测控制,包括电池老化和电气化动力中的制动能量恢复

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This paper proposes a detailed battery thermal management system for electrified powertrains. A battery aging model consisting of capacity fade and power fade sub-models is built to adjust state of charge estimation and heat generation. The trade-off between the benefit of recuperating braking energy and the cost of additional cooling power is investigated. It is found that the recovery ratio depends on the efficiency of the air conditioning system and the intensity and density of the available braking power. A zone model predictive control approach is developed to maintain the battery temperature within its optimal operating range with minimum power consumption. Remarkable energy consumption reduction can be achieved comparing to traditional controllers.
机译:本文提出了一种用于电气化电力的电池热管理系统。构建了由容量淡出和功率淡出子模型组成的电池老化模型,以调整充电估计和发热状态。研究了恢复制动能量和额外冷却功率成本之间的权衡。发现恢复比取决于空调系统的效率和可用制动能力的强度和密度。开发了一个区域模型预测控制方法,以将电池温度保持在其最佳工作范围内的最小功耗。与传统控制器相比,可以实现显着的能耗降低。

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