A Stochastic Model Predictive Control Strategy for Extended Range Electric vehicle

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)833-839
Number of pages7
JournalEnergy Procedia
Volume88
DOIs
Publication statusPublished - 1 Jun 2016
EventApplied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China
Duration: 15 Nov 201517 Nov 2015

Keywords

  • Energy Management Strategy(EMS)
  • Extended-range electric bus (E-REB)
  • Markov stochastic prediction model
  • Stochastic Model Predictive Control (SMPC)

Fingerprint

Dive into the research topics of 'A Stochastic Model Predictive Control Strategy for Extended Range Electric vehicle'. Together they form a unique fingerprint.

Cite this