A review on braking control and optimization techniques for electric vehicle

被引:14
|
作者
Jamadar, Najmuddin M. [1 ,2 ]
Jadhav, Himmat T. [3 ]
机构
[1] Shivaji Univ, Omkar Colony, Kolhapur 415409, Maharashtra, India
[2] Annasaheb Dange Coll Engn & Technol, Ashta, Maharashtra, India
[3] Rajarambapu Inst Technol, Islampur, Maharashtra, India
关键词
Electric vehicle; braking control; optimization; fuzzy logic control; regenerative braking; braking energy control; ENERGY-STORAGE SYSTEM; REGENERATIVE BRAKING; CONTROL STRATEGY; CONTROL ALGORITHM; MANAGEMENT STRATEGY; POWER; RECOVERY; DESIGN; MODEL; ALLOCATION;
D O I
10.1177/0954407021996906
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this modern world, due to limited fossil fuels, increasing cost, and environmental concerns a clean and sustainable transportation system in the form of electric vehicles (EV) is now becoming popular. On the other hand, electric vehicles have an advantage such as zero-emission, less maintenance, comfortable ride, less noise, etc. An electric vehicle is driven by an electric motor so considering driving patterns and road traffic conditions the vehicle often requires braking operation. The most common method is to employ mechanical brakes to reduce the speed of EV. However, mechanical braking mechanism results in friction which in turn, into heating losses and reduces the efficiency of EV. Therefore, regenerative braking system (RBS) and energy management system are employed in addition to mechanical braking for increasing the braking efficiency of the EV system. It is reported in many literatures about different regenerative braking control techniques for EV systems. This paper presents a review of regenerative braking and braking energy management techniques by considering different driving situations and road conditions.
引用
收藏
页码:2371 / 2382
页数:12
相关论文
共 50 条
  • [21] Ripple Correlation Control Applied to Electric Vehicle Regenerative Braking
    Choi, Sanghun
    Bazzi, Ali M.
    Krein, Philip T.
    PROCEEDINGS OF THE 2010 POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2010, : 88 - 92
  • [22] Adaptive Robust Control for Driving and Regenerative Braking of Electric Vehicle
    Xu, Long
    Wang, Junping
    Bai, Yuan
    Hu, Gailing
    MACHINERY ELECTRONICS AND CONTROL ENGINEERING III, 2014, 441 : 887 - +
  • [23] Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle
    Zhang, Hao
    Xu, Guoqing
    Li, Weimin
    Zhou, Meilan
    PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2012, : 588 - 591
  • [24] Hierarchical control research for composite braking system of an electric vehicle
    Guo, Hongqiang
    He, Hongwen
    Liu, Wei
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
  • [25] Braking Control Strategy Optimization for a Battery Electric Bus Based on Braking Feel
    Zhang, Junzhi
    Lin, Cheng
    Zhou, Hui
    Liu, Peng
    FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 82 - 90
  • [26] Optimization and control of battery-flywheel compound energy storage system during an electric vehicle braking
    Wang, Wei
    Li, Yan
    Shi, Man
    Song, Yuling
    ENERGY, 2021, 226 (226)
  • [27] Regenerative Braking Optimization Using Particle Swarm Algorithm for Electric Vehicle
    Chai, Wong Siu
    bin Romli, Muhammad Izuan Fahmi
    Yaakob, Shamshul Bahar
    Fang, Liew Hui
    Aihsan, Muhammad Zaid
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2022, 26 (06) : 1022 - 1030
  • [28] Coordinated robust control of regenerative braking and anti-lock braking for a hybrid electric vehicle
    Jin, Xianjian
    Yin, Guodong
    Chen, Nan
    Wang, Jinxiang
    Qiche Gongcheng/Automotive Engineering, 2015, 37 (09): : 1011 - 1016
  • [29] A comprehensive review on electric vehicles: Charging and control techniques, electric vehicle-grid integration
    Femy P.H.
    Jayakumar J.
    Energy Harvesting and Systems, 2023, 10 (01) : 1 - 14
  • [30] Regenerative braking control strategy for a hybrid electric vehicle with rear axle electric drive
    Lv, Ming
    Chen, Zeyu
    Yang, Ying
    Bi, Jiangman
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 521 - 525