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

机译：电池热管理的区域模型预测控制，包括电动动力总成中的电池老化和制动能量回收

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摘要

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动动力总成的详细电池热管理系统。建立了由容量衰减和功率衰减子模型组成的电池老化模型，以调整充电状态估计和热量产生。研究了在回收制动能量的好处与附加冷却功率的成本之间的权衡。发现回收率取决于空调系统的效率以及可用制动力的强度和密度。开发了区域模型预测控制方法，以最小的功耗将电池温度保持在最佳工作范围内。与传统控制器相比，可以显着降低能耗。

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