The dynamic programming (DP) theory is applied in designing energy management control strategy of Hybrid Tracked Vehicle. As hybrid tracked vehicles use dual-energy sources, the engine-generator sets and power batteries. We applied the dynamic programming theory to optimize the distribution between the dual-energy sources, so we can make the fuel consumption minimize. Through the analysis of the optimization results, near-optimal rules are extracted. Then we do some simulations to verify the control rules based on MATLAB software. It was found that the fuel economic performance improved significant, compared to former rule-based control strategy.
Energy Management Strategy for Hybrid Electric Tracked Vehicle Based on Dynamic Programming
Electrical Engineering and Control, EEIC, International Conference on Electric and Electronics, 2011 ; 843-851
2011
9 Seiten
Aufsatz (Konferenz)
Englisch
Optimal energy management strategy for hybrid electric tracked vehicles
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