Hierarchical Optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information

This paper addresses the hierarchical optimization of speed and gearshift control for battery electric vehicles using short-range traffic information. To achieve greater electric motor efficiency, a multi-speed transmission is employed, whose control involves discrete-valued gearshift signals. To overcome the computational difficulties in solving the integrated speed-and-gearshift optimal control problem that involves both continuous and discrete-valued optimization variables, we propose a hierarchical procedure to decompose the integrated hybrid problem into purely continuous and discrete sub-problems, each of which can be efficiently solved. We show, by simulations in various driving scenarios, that the hierarchical optimization of speed and gearshift control can achieve greater energy efficiency than other typical approaches.

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