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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
YoungLee发布了新的文献求助10
2秒前
田田发布了新的文献求助10
3秒前
风清扬发布了新的文献求助10
3秒前
4秒前
小羊琳发布了新的文献求助10
4秒前
顺利兰发布了新的文献求助10
5秒前
CipherSage应助cm采纳,获得10
5秒前
Peng丶Young完成签到,获得积分10
5秒前
余一台完成签到,获得积分10
6秒前
Lucian完成签到,获得积分10
6秒前
科研通AI6应助shine采纳,获得10
6秒前
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
充电宝应助noair采纳,获得10
7秒前
7秒前
哈哈哈哈哈完成签到 ,获得积分10
7秒前
所所应助科研通管家采纳,获得10
7秒前
ywzwszl发布了新的文献求助10
7秒前
猫小树完成签到 ,获得积分10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
量子星尘发布了新的文献求助10
8秒前
花不拉几发布了新的文献求助20
8秒前
蓝天应助科研通管家采纳,获得10
8秒前
今后应助科研通管家采纳,获得10
8秒前
斯文败类应助科研通管家采纳,获得10
9秒前
NexusExplorer应助科研通管家采纳,获得10
9秒前
Lucas应助科研通管家采纳,获得30
9秒前
9秒前
蓝天应助科研通管家采纳,获得10
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
科研通AI6应助Lee采纳,获得10
10秒前
wanci应助科研通管家采纳,获得10
10秒前
daihahaha完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 6000
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
Handbook of Migration, International Relations and Security in Asia 555
Between high and low : a chronology of the early Hellenistic period 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5675597
求助须知:如何正确求助?哪些是违规求助? 4947581
关于积分的说明 15153918
捐赠科研通 4834916
什么是DOI,文献DOI怎么找? 2589694
邀请新用户注册赠送积分活动 1543483
关于科研通互助平台的介绍 1501233