Research on Energy Management Strategy of Mining Truck Based on MPC

Shen Yanhua, Li Shuai, X. Tao
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Abstract

The power system of electric-drive truck equipped with hybrid energy storage is proposed to efficiently utilize the engine power and braking regenerative energy. The truck power system model including the hybrid energy storage system is built in which the energy management of mining truck is designed with the minimizing fuel consumption. The optimal output engine power under the cycle working condition of the truck can be predicted by the model predictive control method. Taking the advantage of battery and supercapacitor, the power distribution strategy of hybrid energy storage system is suggested to make the engine operating around the optimal fuel consumption curve. This energy management strategy of the truck is executed in realtime with the driver-in-loop. The results indicate that this energy management strategy can reduce the fuel consumption up to 13%~15% comparing with that of traditional electricdrive truck.
基于MPC的矿用卡车能源管理策略研究
为了有效地利用发动机动力和制动再生能量,提出了一种配备混合储能系统的电驱动载重汽车动力系统。建立了包括混合储能系统在内的矿用汽车动力系统模型,以燃料消耗最小为目标设计矿用汽车的能量管理。利用模型预测控制方法可以预测卡车循环工况下发动机的最优输出功率。利用电池和超级电容器的优势,提出了混合储能系统的功率分配策略,使发动机在最佳油耗曲线附近运行。卡车的能量管理策略与驾驶员在环实时执行。结果表明,与传统电动卡车相比,该能源管理策略可使汽车油耗降低13%~15%。
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