Estimation of Brake Friction Coefficient for Blending Function of Base Braking Control

制动器 摩擦系数 制动距离 基础(拓扑) 摩擦系数 功能(生物学) 防抱死制动系统 汽车工程 控制理论(社会学) 发动机制动 数学 控制(管理) 材料科学 计算机科学 工程类 数学分析 复合材料 人工智能 生物 进化生物学
作者
Vincenzo Ricciardi,Dzmitry Savitski,Klaus Augsburg,Valentin Ivanov
出处
期刊:SAE International journal of passenger cars 卷期号:10 (3): 774-785 被引量:19
标识
DOI:10.4271/2017-01-2520
摘要

<div class="section abstract"><div class="htmlview paragraph">The brake architecture of hybrid and full electric vehicle includes the distinctive function of brake blending. Known approaches draw upon the maximum energy recuperation strategy and neglect the operation mode of friction brakes. Within this framework, an efficient control of the blending functions is demanded to compensate external disturbances induced by unpredictable variations of the pad disc friction coefficient. In addition, the control demand distribution between the conventional frictional brake system and the electric motors can incur failures that compromise the frictional braking performance and safety. However, deviation of friction coefficient value given in controller from actual one can induce undesirable deterioration of brake control functions. The main objective of the presented study is to propose a method to compensate disturbances induced by variations of brake linings friction coefficient through modifications of the brake torque demand for the enhancement of both brake performance and active safety.</div><div class="htmlview paragraph">The achievement of a compensation mechanism requires the estimation of relevant vehicle states. Hereunto, a novel technique based on a linear Kalman observer is proposed for the online estimation of the brake friction coefficient by relying upon the wheel speed sensors and inertia measurement unit (IMU). Such a tool enables a more efficient use of the frictional brakes aimed at minimizing losses of friction coefficient by keeping them in the optimal operational conditions. A simulation analysis will be carried out using the commercial vehicle dynamics simulation software IPG CarMaker to test the functionality of the developed estimator in the real-time mode. Experimental results from brake dynamometric test rig will be considered in the vehicle dynamics simulation software to reproduce the real behaviour of brake linings friction coefficient. The resulting improvements in brake control functions will be analysed against longitudinal base braking cases involving blending functions also in presence of failure of the electric motors.</div></div>
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
爆米花应助Alarack采纳,获得10
1秒前
2秒前
nanxun完成签到,获得积分10
2秒前
小二郎应助SSY采纳,获得10
3秒前
Sober完成签到 ,获得积分10
4秒前
鄂坤发布了新的文献求助10
4秒前
陈成发布了新的文献求助10
5秒前
科研通AI6应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
香蕉觅云应助科研通管家采纳,获得10
5秒前
5秒前
猪猪hero应助科研通管家采纳,获得10
5秒前
猪猪hero应助科研通管家采纳,获得10
5秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
科目三应助科研通管家采纳,获得10
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
乐乐应助科研通管家采纳,获得10
6秒前
EKo应助零零零零采纳,获得10
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
共享精神应助科研通管家采纳,获得10
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
6秒前
慕青应助科研通管家采纳,获得10
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
猪猪hero应助科研通管家采纳,获得10
6秒前
8秒前
Orange应助一一采纳,获得10
8秒前
搜集达人应助一一采纳,获得10
8秒前
酷波er应助一一采纳,获得30
8秒前
蓝天应助一一采纳,获得10
8秒前
在水一方应助一一采纳,获得10
8秒前
今后应助一一采纳,获得10
9秒前
量子星尘发布了新的文献求助10
9秒前
ding应助一一采纳,获得10
9秒前
善学以致用应助一一采纳,获得10
9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
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
El poder y la palabra: prensa y poder político en las dictaduras : el régimen de Franco ante la prensa y el periodismo 400
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 5603979
求助须知:如何正确求助?哪些是违规求助? 4688850
关于积分的说明 14856611
捐赠科研通 4695971
什么是DOI,文献DOI怎么找? 2541092
邀请新用户注册赠送积分活动 1507256
关于科研通互助平台的介绍 1471832