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Article Dans Une Revue IEEE Transactions on Vehicular Technology Année : 2017

Comparative Study of Real-Time HEV Energy Management Strategies

Résumé

An adequate energy management strategy is the key to optimizing hybrid electric vehicle fuel efficiency. Various real-time controls have been recently developed. As each study is performed in a specific context, a comparative analysis is critically needed to point out their pros and cons. This paper proposes a comparison between three promising real-time strategies: adaptive equivalent consumption minimization strategy (A-ECMS), optimal control law (OCL), and stochastic dynamic programming (SDP). Two offline algorithms are used as benchmark: Pontryagin's minimum principle and dynamic programming. Implementation and parameters setting issues are discussed for each strategy. The real-time strategies robustness is then evaluated over several types of driving cycles and a statistical analysis is conducted using random cycles generated by Markov process. Simulation results show that OCL needs improvement. A-ECMS reaches the best fuel saving performance when used with parameter sets adjusted to the driving environment, while SDP better respects the charge sustaining constraint.
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Dates et versions

hal-01693635 , version 1 (11-03-2020)

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Qi Jiang, Florence Ossart, Claude Marchand. Comparative Study of Real-Time HEV Energy Management Strategies. IEEE Transactions on Vehicular Technology, 2017, 66 (12), pp.10875 - 10888. ⟨10.1109/TVT.2017.2727069⟩. ⟨hal-01693635⟩
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