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Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

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Listed:
  • Peng, Jiankun
  • He, Hongwen
  • Xiong, Rui

Abstract

An appropriate energy management strategy is able to further improve the fuel economy of PHEVs. The rule-based energy management algorithms are dominated in industry due to their fast computation and ease of establishment potentials, however, their performance differ a lot from improper setting of parameters and control actions. This paper employs the dynamic programming (DP) to locate the optimal actions for the engine in PHEVs, and more importantly, proposes a recalibration method to improve the performance of the rule-based energy management through the results calculated by DP algorithm. Eventually, an optimization-based rule development procedure is presented and further validated by hardware-in-loop (HIL) simulation experiments. The HIL simulation results show that, the improved rule-based energy management strategy reduces fuel consumption per 100km from 25.46L diesel to 22.80L diesel. The main contribution of this study is to explore a novel way to calibrate the existed heuristic control strategy with the global optimization result through advanced intelligent algorithms.

Suggested Citation

  • Peng, Jiankun & He, Hongwen & Xiong, Rui, 2017. "Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming," Applied Energy, Elsevier, vol. 185(P2), pages 1633-1643.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1633-1643
    DOI: 10.1016/j.apenergy.2015.12.031
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    References listed on IDEAS

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