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Seamless Shifting Control Based on Power Balance Method in Emergency Braking Condition

动力传动系统 离合器 汽车工程 再生制动器 发动机制动 手动变速器 动态制动 扭矩 自动变速器 工程类 计算机科学 电动汽车 制动器 功率(物理) 电动汽车 物理 热力学 量子力学
作者
Zheng-Hong Lu,Jian Song,Liangyao Yu
出处
期刊:ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
标识
DOI:10.1115/detc2021-71284
摘要

Abstract Implementation of multi-speed transmission for battery electric vehicle (BEV) is considered as one of effective methods in improving dynamic capability, reducing power consumption and downsizing the powertrain. Considering two trends of automotive technology, advanced driving assistance system (ADAS) and BEV electric powertrain, equipped with a two-speed transmission, can enhance the performance of automatic emergency braking systems (AEBS). When downshift operation is executed during regenerative braking, the multi-speed transmission in first gear can provide adequate brake force capacity for hard braking requirement, improving efficiency of energy recovery of drive motor as well as eliminating the dynamic lag of active braking booster. To ensure both the braking command and downshift requirement, a seamless clutch-to-clutch shifting control strategy based on power balance method is developed by analyzing the frictional work of two friction clutches inside the gear box and the transformation process of kinetic energy of rotational mechanical elements. To maintain the total energy balance of the powertrain as the control objective, the active power compensation of the drive motor during shifting fills the energy gap of the whole transmission system. With the estimation of clutches’ friction torque and shifting stage analyzer, optimal drive motor torque command can be numerically solved and a complete shifting control flow is designed in this study. Simulation results demonstrate the effectiveness of proposed control method in achieving seamless downshifting during regenerative braking, enhancing AEBS performance and improving energy recovery efficiency.
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