Hybrid Car Power Optimizing Using Dynamic Programming

In this paper, a model-based strategy for the powercontrol of hybrid vehicles is presented. Through a defineddiscretized model of vehicle and a cost function, the inputsto vehicle are controlled optimally as a constraint dynamicoptimization to maximize the distance. The optimizationstrategy has to stages as in the first stage the optimal powerof vehicle that maximizes the distance in a given time, isobtained by utilizing dynamic programming and particleswarm optimization (PSO) method. To make the problem asreal as possible, there has been a speed bump on the road onwhich vehicle should have a specific speed. Then anoptimal control to track the previous optimized power curveis designed that its inputs are battery, ultra-capacitor, engineand brake outputs . It is obvious that by using these outputsthe distance will be maximized and the vehicle consumesminimum power.

کلیدواژه ها:

Hybrid vehicle ، optimal control ، dynamicprogramming ، particle swarm optimization.