Range Extension Control for Electric Vehicle Using Information on Road and Geography

2017 Fiscal Year Final Research Report

• Project/Area Number: 25289050
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Dynamics/Control
• Research Institution: Kyushu University
• Principal Investigator: Kawabe Taketoshi 九州大学, システム情報科学研究院, 教授 (60403953)
• Co-Investigator(Kenkyū-buntansha): 向井 正和 工学院大学, 工学部, 准教授 (50404059)
• Project Period (FY): 2013-04-01 – 2018-03-31
• Keywords: 電気自動車 / 制御工学 / モデル予測制御 / 省電力

Outline of Final Research Achievements

Electric vehicle (EV) is expected to be a mobility in near future for its good emission performance. However, range of EV for one charge should be extended for it is generally used as an alternative of current automobile. Therefore, we propose a control methodology for the range extension exploiting the EV’s property that EV can regenerate during going downhill slope/braking. The range extension problem has been formulated based upon model predictive control scheme with a performance index including a term that represents electric energy consumption and a vehicle model that represents electric properties of an EV as well as predictive traffic circumstances, e.g. change of traffic signals. In this scheme the traction force and braking force of the EV is optimized and renewed at each sampling time of the control. Computer simulation results showed that the proposed control improved energy consumption in 16% or so at typical hill climbing and successive descending.

Free Research Field

制御工学