Integrated torque vectoring and power management framework for electric vehicles

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• 作者：Andy Wong^a ; ^{andy.wong@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author} ; Dhanaraja Kasinathan^a ; ^{dkasinat@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author} ; Amir Khajepour^a ; ^{a.khajepour@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author} ; Shih-Ken Chen^b ; ^{shih-ken.chen@gm.com" class="auth_mail" title="E-mail the corresponding author} ; Bakhtiar Litkouhi^b ; ^{bakhtiar.litkouhi@gm.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Integrated control ; Vehicle dynamics ; Electric vehicles ; Stability control ; Optimization
• 刊名：Control Engineering Practice
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：48
• 期：Complete
• 页码：22-36
• 全文大小：2792 K

文摘

An integrated vehicle control framework is presented, which uses torque vectoring across independently driven wheels for control. The approach is general in nature, but is particularly well suited for electric vehicles due to increased control bandwidth. The novel algorithm optimizes wheel torque outputs in real time, constraining against power management, traction control, chassis configuration, actuator limits, and fault-case limitations. The structure is modular, and designed to adapt for differing vehicles with minimal re-tuning. Simulation and experimental results are provided for a modified electric SUV platform, under a range of dynamic maneuvers in 4WD, FWD, and RWD modes.