基于凸优化的燃料电池汽车节能驾驶研究

In order to realize eco-driving of fuel cell vehicles in the multi-signal scenario, a fast speed planning and energy management method based on hierarchical convex optimization is proposed in this paper. Combined with the static hydrogen consumption map of the vehicle, dynamic programming is used to obtain the optimal period of green light for the vehicle while passing through the traffic light, and to determine the search area for the optimal driving route. A quadratic programming problem is established to obtain the acceleration with the minimum accumulated power demand as the optimization objective, and the Matlab/OSQP solver is used to obtain the optimal driving path of the vehicle. According to the optimal driving route, an energy management strategy based on the alternating direction method of multipliers is established to realize the reasonable distribution of the output power of each power source. The simulation results for the scenario with 9 traffic lights show that the average efficiency of the motor operating point of the proposed method is 10% higher, and the hydrogen consumption is 45% lower than that of the intelligent driver model. In addition, the method has fast calculation speed and the potential for real-time optimization.