Optimal Electric Vehicle Braking Control for Maximum Energy Regeneration

被引:1
|
作者
Meszaros, Shawn [1 ]
Bashash, Saeid [1 ]
机构
[1] San Jose State Univ, Dept Mech Engn, San Jose, CA 95192 USA
关键词
D O I
10.23919/ACC55779.2023.10156187
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an optimal controller for an electric vehicle's mechanical braking system to maximize energy regeneration during braking. First an EV powertrain system model is developed using a DC motor, an equivalent circuit battery, and a vehicle dynamics model. An open-loop speed controller is then derived for precise drive cycle tracking. Using the electromechanical DC motor equations, an optimal control policy is developed for motor voltage and the friction brake system to maximize motor power during energy regeneration. Simulation results indicate that the addition of the mechanical brake in an optimal way can improve energy recovery during braking periods. However, the amount of energy recovery is highly dependent on the deceleration rate and the parameters of the electric motor including the backemf constant and the coil resistance.
引用
收藏
页码:2475 / 2480
页数:6
相关论文
共 50 条
  • [41] An Investigation into Regenerative Braking Control Strategy for Hybrid Electric Vehicle
    彭栋
    殷承良
    张建武
    [J]. Journal of Shanghai Jiaotong University(Science), 2005, (04) : 407 - 412
  • [42] Study on Control Strategy for Regenerative Braking in a Pure Electric Vehicle
    Ma, Kun
    Chu, Liang
    Yao, Liang
    Wang, Yanbo
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012), 2012, 23
  • [43] Research of Energy Regeneration Technology in Electric Vehicle
    陈家新
    江建中
    汪信尧
    [J]. Advances in Manufacturing, 2003, (02) : 173 - 177
  • [44] The impact of hybrid and electric powertrains on vehicle dynamics, control systems and energy regeneration
    Crolla, David A.
    Cao, Dongpu
    [J]. VEHICLE SYSTEM DYNAMICS, 2012, 50 : 95 - 109
  • [45] Ripple Correlation Control Applied to Electric Vehicle Regenerative Braking
    Choi, Sanghun
    Bazzi, Ali M.
    Krein, Philip T.
    [J]. PROCEEDINGS OF THE 2010 POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2010, : 88 - 92
  • [46] Integrated control of braking energy regeneration and pneumatic anti-lock braking
    Zhang, J-Z
    Chen, X.
    Zhang, P-J
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2010, 224 (D5) : 587 - 610
  • [47] Study on Control Strategy of Regenerative Braking for Pure Electric Vehicle
    Jiang, Hong
    Li Kun
    Xu Xing
    Pan Chaofeng
    Ju Longyu
    [J]. 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION AND VEHICULAR TECHNOLOGY (ICCVT 2010), VOL I, 2010, : 97 - 100
  • [48] Adaptive Robust Control for Driving and Regenerative Braking of Electric Vehicle
    Xu, Long
    Wang, Junping
    Bai, Yuan
    Hu, Gailing
    [J]. MACHINERY ELECTRONICS AND CONTROL ENGINEERING III, 2014, 441 : 887 - +
  • [49] Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle
    Zhang, Hao
    Xu, Guoqing
    Li, Weimin
    Zhou, Meilan
    [J]. PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2012, : 588 - 591
  • [50] Hierarchical control research for composite braking system of an electric vehicle
    Guo, Hongqiang
    He, Hongwen
    Liu, Wei
    [J]. 2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,