Dynamic Coordinated Control for Regenerative Braking System and Anti-Lock Braking System for Electrified Vehicles Under Emergency Braking Conditions

发动机制动 动态制动 临界制动 电子制动力分配系统 缓速器 再生制动器 汽车工程 计算机科学 制动距离 能量回收 控制理论(社会学) 制动斩波器 扭矩 防抱死制动系统 制动系统 控制(管理) 工程类 能量(信号处理) 制动器 数学 电压 人工智能 物理 电气工程 统计 热力学
作者
Yang Yang,Qingsong Tang,Bo-Lin Li,Chunyun Fu
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:8: 172664-172677 被引量:13
标识
DOI:10.1109/access.2020.3024918
摘要

The economy of electrified vehicles can be improved by using the motor to recover the energy released during braking. However, the vehicle's regenerative braking system (RBS) and anti-lock braking system (ABS) are not compatible, so the energy dissipated during braking cannot be recovered under emergency braking conditions. This paper employs the method of logic threshold control combined with phase plane theory to analyze the relationship between the slip rate and the braking torque during the ABS braking process and to obtain the composition rule of the braking torque required for ABS braking. Based on this rule, a control strategy to coordinate RBS and ABS when triggering ABS is proposed to improve the efficiency of braking energy recovery. Furthermore, a comparative simulation is conducted to analyze the braking performance of electrified vehicle on roads with different adhesion coefficients by adopting the proposed control strategy and the traditional control strategy. The results show that, compared with the traditional coordinated control strategy, the braking energy recovery efficiency of the proposed coordinated control strategy is improved by 23.08%-38.54%, and can effectively shorten the braking distance and braking time, with better braking performance. Therefore, this paper offers a useful theoretical reference to the design of RBS and ABS coordinated control strategies for electrified vehicles.

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
科研通AI6.3应助崔伊凡采纳,获得10
2秒前
3秒前
3秒前
4秒前
4秒前
luckyhan完成签到 ,获得积分10
5秒前
徐若楠发布了新的文献求助20
6秒前
6秒前
ma636908发布了新的文献求助10
8秒前
彭于晏应助怀素采纳,获得10
9秒前
Babyblue发布了新的文献求助10
9秒前
10秒前
d叨叨鱼发布了新的文献求助10
10秒前
草莓驳回了Ava应助
11秒前
11秒前
情怀应助好事啵啵QWQ采纳,获得10
11秒前
YHHHH完成签到,获得积分10
12秒前
13秒前
13秒前
崔伊凡发布了新的文献求助10
15秒前
不要再忘登陆密码了完成签到,获得积分10
16秒前
小木完成签到,获得积分10
18秒前
科研通AI6.4应助aayu采纳,获得10
19秒前
20秒前
科研通AI6.4应助可靠白安采纳,获得10
20秒前
青青草地完成签到 ,获得积分10
21秒前
Jasper应助d叨叨鱼采纳,获得30
21秒前
白小琰完成签到,获得积分10
21秒前
an发布了新的文献求助30
22秒前
徐若楠完成签到,获得积分10
23秒前
香蕉盼夏发布了新的文献求助10
24秒前
24秒前
CipherSage应助超级绮波采纳,获得10
24秒前
思源应助d叨叨鱼采纳,获得10
25秒前
31秒前
HJXM完成签到,获得积分10
31秒前
斯文的老虎完成签到,获得积分10
31秒前
轻松的博完成签到,获得积分10
32秒前
耶耶完成签到 ,获得积分10
32秒前
桃花岛岛主完成签到,获得积分10
34秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254369
求助须知:如何正确求助?哪些是违规求助? 8876344
关于积分的说明 18742101
捐赠科研通 6934908
什么是DOI,文献DOI怎么找? 3200122
关于科研通互助平台的介绍 2374774
邀请新用户注册赠送积分活动 2175037