Global Optimal Control Strategy of PHEV Based on Dynamic Programming

Abstract

Dynamic programming algorithm is considered to be the most effective method to solve the global optimal energy management strategy of hybrid electric vehicles. This paper takes parallel hybrid electric vehicle as an example, the fuel economy control mathematical model and dynamic programming (DP) algorithm equation are established to solve the global optimal control strategy. Shift limitation and engine start-stop limitation are added into the cost function to improve the driving comfort. In order to solve the problem of the dimension disaster of dynamic programming algorithm, Matlab is used to program in the form of high-dimensional matrix, which can greatly shorten the computation time of dynamic programming. The results of simulation on diverse driving cycles show that the dynamic programming has significant advantages over rule-based control strategy in fuel economy improvment.