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HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

机译:基于动态规划的混合动力汽车能源管理模糊逻辑控制

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摘要

In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.
机译:在这项工作中,提出了一种用于混合动力汽车能量管理的优化模糊逻辑控制策略。应用动态规划算法来获得给定行驶周期下发动机和电动机之间的最佳功率分配。动态编程解决方案还用于设计模糊控制策略,并作为比较的基准。建议的策略基于驾驶条件;因此,较少依赖人工经验。仿真结果表明,与传统控制策略相比,该策略可以进一步提高燃油效率。

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