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Wheel torque distribution optimization of four-wheel independent-drive electric vehicle for energy efficient driving

机译:四轮独立驱动电动车辆节能驾驶的车轮扭矩分布优化

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摘要

With the help of several in-wheel motors, four-wheel independent-drive electric vehicle (4WIDEV) has tremendous potential to improve vehicle performance. Except for the theme of stability enhancement during the past two decades, energy saving topic becomes more attractive recently. However, it is difficult to achieve stability and economy performance simultaneously. Given the commonly used control method of rigid yaw rate tracking may limit the energy saving potential of 4WIDEV in cornering. Therefore, be different from previous studies which often focus on a sole target, in this paper, a driving energy management strategy for 4WIDEV based on multi-objective online optimization of four-wheel torque distribution is proposed in this paper, which includes weighted yaw rate tracking error into its parameterized control objectives besides electric drive system efficiency, tire slip losses and wheel torque ripple. Meanwhile, for better coordination of stability and economy in different situation, fuzzy logic control is adopted to dynamically adjust the weight of the control objective indexes of the proposed multi-objective online optimization function. Then, a particle swarm optimization algorithm is adopted to solve the optimization function. Finally, the proposed strategy for energy-efficient driving is verified based on the built Simulink and CarSim co-simulation model. The results show that the proposed four-wheel torque distribution strategy based on the multi-objective online optimization is more effective than average distribution strategy and offline optimization strategy.
机译:借助于几款车载电机,四轮独立驱动电动车(4Widev)具有巨大的潜力,可以提高车辆性能。除了在过去二十年中稳定增强的主题,最近节能主题变得更加有吸引力。然而,很难同时实现稳定性和经济性能。鉴于刚性横摆率跟踪的常用控制方法可能会限制4Widev在转弯时的节能电位。因此,本文提出了基于四轮扭矩分布的四轮扭矩分布的多目标在线优化的4Widev的驱动能量管理策略,这些研究不同于专注于唯一的目标。在本文中提出了一种基于四轮扭矩分布的多目标线优化的驱动能源管理策略,包括加权横摆率除了电动驱动系统效率,轮胎滑动损失和车轮扭矩波动之外,跟踪误差进入其参数化控制目标。同时,在不同情况下的稳定性和经济性更好的协调,模糊逻辑控制,采用动态调整所提出的多目标在线优化功能的控制目标指标的权重。然后,采用粒子群优化算法来解决优化函数。最后,基于内置的Simulink和Carsim共模模型来验证所提出的节能驾驶策略。结果表明,基于多目标在线优化的三轮扭矩分布策略比平均分布策略和离线优化策略更有效。

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