Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses
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文摘

The novel approximated global optimal energy management strategy has been proposed for hybrid powertrains.

Eight typical driving behaviors have been classified with K-means to deal with the multiplicative traffic conditions.

The stochastic driver models of different driving behaviors were established based on the Markov chains.

ECMS was used to modify the SMPC-based energy management strategy to improve its fuel economy.

The approximated global optimal energy management strategy for plug-in hybrid electric buses has been verified and analyzed.

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