A Stochastic Model Predictive Control Strategy for Extended Range Electric vehicle

Wenwei Wang, Quanqing Yu*, Dongjiang Cao, Cheng Lin, Fengchun Sun

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

3 引用 (Scopus)

摘要

The Energy Management Strategy(EMS) of the Extended-Range Electric Bus (E-REB) plays an important role in the fuel economy and emission performance. This paper presents a Stochastic Model Predictive Control (SMPC) strategy based on Stochastic Dynamic Programming (SDP) and Model Predictive Control (MPC) for E-REB. SMPC applies Markov stochastic prediction model to predict the power demand of driving cycles, converts the SDP algorithm into the local optimization algorithm within the finite horizon, then the global suboptimal strategy can be obtained by solving a finite horizon optimization problem. SMPC can greatly save the online computation and operation time, achieve the goal of real-time online control. Simulation results of E-EVB are presented to demonstrate the effectiveness of the SMPC.

源语言英语
页(从-至)833-839
页数7
期刊Energy Procedia
88
DOI
出版状态已出版 - 1 6月 2016
活动Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, 中国
期限: 15 11月 201517 11月 2015

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