Control strategy optimization using dynamic programming method for synergic electric system on hybrid electric vehicle

Yuan-Bin Yu, Qing-Nian Wang, Hai-Tao Min, Peng-Yu Wang, Chun-Guang Hao

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DOI: 10.4236/ns.2009.13030                

Abstract

Dynamic Programming (DP) algorithm is used to find the optimal trajectories under Beijing cycle for the power management of synergic electric system (SES) which is composed of battery and super capacitor. Feasible rules are derived from analyzing the optimal trajectories, and it has the highest contribution to Hybrid Electric Vehicle (HEV). The methods of how to get the best performance is also educed. Using the new Rule-based power management strat-egy adopted from the optimal results, it is easy to demonstrate the effectiveness of the new strategy in further improvement of the fuel economy by the synergic hybrid system.

Keywords

Dynamic Programming; Control Strategy; Optimization; Synergic Electric System; HEV

Conflicts of Interest

The authors declare no conflicts of interest.

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