基于凸优化算法的燃料电池公交车能量管理策略

Energy Management Strategy of Fuel Cell Bus Based on Convex Optimization Algorithm

为了优化燃料电池公交车动力系统功率分配及部件尺寸,基于凸优化算法,制定了一种近似全局最优的次优能量管理策略。首先,基于simulink仿真平台搭建燃料电池混合动力系统模型,然后将所建模型凸化,并针对原优化问题中的目标函数及约束,引入新变量作为状态变量对其进行转换,将原优化问题转化为凸优化问题。最后利用Matlab/cvx工具箱进行问题求解。同时选用4种典型工况对所制定的能量管理策略进行仿真验证,并与基于动态规划的策略进行对比。结果表明,基于凸优化算法所制定的能量管理策略计算效率更高,可以获得近似全局最优的优化结果,提升整车经济性的同时优化了部件尺寸,有效改善了目标车辆的运行特性。

In order to optimize the power distribution and component size of the fuel cell bus power system, a suboptimal energy management strategy that approximates the global optimum is formulated based on a convex optimization algorithm. First, build a fuel cell hybrid power system model based on the simulink simulation platform, then convexize the model, and introduce new variables as state variables for the objective function and constraints in the original optimization problem to convert it, and convert the original optimization problem is a convex optimization problem. Finally, use the Matlab/cvx toolbox to solve the problem. At the same time, four typical working conditions were selected to simulate and verify the energy management strategy, and compared with the strategy based on dynamic programming. The results show that the energy management strategy formulated based on the convex optimization algorithm has higher computational efficiency, can obtain approximate global optimal optimization results, optimize the size of components while improving the economy of the whole vehicle, and effectively improve the operating characteristics of the target vehicle.