扭矩
汽车工程
直接转矩控制
参数统计
电动汽车
能量(信号处理)
控制理论(社会学)
车辆动力学
电子差速器
工程类
计算机科学
感应电动机
控制(管理)
电气工程
电压
物理
功率(物理)
数学
统计
热力学
人工智能
量子力学
作者
Arash M. Dizqah,Basilio Lenzo,Aldo Sorniotti,Patrick Gruber,Saber Fallah,Jasper De Smet
标识
DOI:10.1109/tie.2016.2540584
摘要
Electric vehicles (EVs) with four individually controlled drivetrains are over-actuated systems, and therefore, the total wheel torque and yaw moment demands can be realized through an infinite number of feasible wheel torque combinations. Hence, an energy-efficient torque distribution among the four drivetrains is crucial for reducing the drivetrain power losses and extending driving range. In this paper, the optimal torque distribution is formulated as the solution of a parametric optimization problem, depending on the vehicle speed. An analytical solution is provided for the case of equal drivetrains, under the experimentally confirmed hypothesis that the drivetrain power losses are strictly monotonically increasing with the torque demand. The easily implementable and computationally fast wheel torque distribution algorithm is validated by simulations and experiments on an EV demonstrator, along driving cycles and cornering maneuvers. The results show considerable energy savings compared to alternative torque distribution strategies.
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