Abstract
A heuristic rule-based energy management for a series hybrid electric tracked vehicle is proposed and verified in this paper. Based on the results of equivalent consumption minimization strategy (ECMS), the new control strategy extracts the optimized control rules and considers the fuel consumption and battery manners together by adjusting the control mechanism. The series hybrid electric tracked vehicle model and the driving cycle are built in MATLAB/Simulink. The simulation results show that the proposed strategy have a better fuel economy and battery manner than traditional rule-based strategies. Compared with the equivalent consumption minimization strategy, the new method also shows the easiness and convenience, but a nearly close fuel consumption and battery manner. This heuristic strategy can show us its advantages and serve some experiences when designing the control strategies in practical application.
| Original language | English |
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| Article number | 012049 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1576 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 13 Jul 2020 |
| Event | 4th International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2020 - Hangzhou, China Duration: 24 Apr 2020 → 26 Apr 2020 |