再生制动器
动态制动
汽车工程
控制理论(社会学)
缓速器
制动器
电动汽车
发动机制动
电子制动力分配系统
控制器(灌溉)
临界制动
扭矩
工程类
试验台
扩展卡尔曼滤波器
计算机科学
控制(管理)
卡尔曼滤波器
制动系统
功率(物理)
农学
人工智能
嵌入式系统
物理
热力学
生物
量子力学
作者
Zijun Liu,Shuo Cheng,Jinzhao Liu,Qiong Wu,Liang Li,Huawei Liang
出处
期刊:Chinese journal of mechanical engineering
[Elsevier]
日期:2022-12-01
卷期号:35 (1)
标识
DOI:10.1186/s10033-022-00823-z
摘要
Abstract Proper braking force distribution strategies can improve both stability and economy performance of hybrid electric vehicles, which is prominently proved by many studies. To achieve better dynamic stable performance and higher energy recovery efficiency, an effective braking control strategy for hybrid electric buses (HEB) based on vehicle mass and road slope estimation is proposed in this paper. Firstly, the road slope and the vehicle mass are estimated by a hybrid algorithm of extended Kalman filter (EKF) and recursive least square (RLS). Secondly, the total braking torque of HEB is calculated by the sliding mode controller (SMC), which uses the information of brake intensity, whole vehicle mass, and road slope. Finally, comprehensively considering driver's braking intention and regulations of the Economic Commission for Europe (ECE), the optimal proportional relationship between regenerative braking and pneumatic braking is obtained. Furthermore, related simulations and experiments are carried out on the hardware-in-the-loop test bench. Results show that the proposed strategy can effectively improve the braking performance and increase the recovered energy through precise control of the braking torque.
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