文章基本信息

标题：Model Predictive Energy Control Including Mechanical Fatigue Life of a Two-Motor Multi-Speed Electric Vehicle
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作者：Y. Tao ; D. Schoeneberger ; S. Rinderknecht 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：14109-14116
DOI：10.1016/j.ifacol.2020.12.1009
语种：English
出版社：Elsevier
摘要：AbstractOver the last three decades, energy management strategies considering minimum energy consumption have been extensively studied in the field of automotive engineering. On the contrary, the fatigue life of mechanical parts in powertrains is rarely considered. This paper addresses a Real-time-oriented Multi-Objective Energy Management Strategy aimed at both the energy consumption and the fatigue life of mechanical parts in the powertrain of a Two-Motor Multi-Speed Battery Electric Vehicle (BEV). This strategy is based on Model Predictive Control (MPC), while Dynamic Programming (DP) is embedded to solve the non-linear optimal control problem in the prediction horizon. The online simulation results show that this MPC-based strategy prolongs the service life of the powertrain with a minor sacrifice in energy consumption, and that this strategy achieves a sub-optimal result close to the offline optimal result from DP. Moreover, the result from MPC-based strategy approaches the optimal result with prolonging prediction horizon.
关键词：KeywordsAutomotive ControlBattery Electric VehiclePowertrainMulti-Objective Energy Management StrategyOptimal ControlFatigue LifeService LifeModel Predictive ControlReal-Time Control