Overview on Energy Management of Electric Vehicles with Intelligent Braking Controllers

被引：0
作者：
Raud, Zoja [1 ]
Vodovozov, Valery [1 ]
机构：
[1] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, Tallinn, Estonia
来源：
2021 IEEE 62ND INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON) | 2021年
关键词：
electric vehicles; brakes; intelligent control; fuzzy control; neurocontrollers; ADAPTIVE FUZZY CONTROLLER; NEURAL-NETWORK; SYSTEMS; STABILIZATION; STRATEGY;
D O I：
10.1109/RTUCON53541.2021.9711715
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Despite many advantages that modern society benefits from electric vehicles, there are still significant obstacles to their widespread adoption, primarily related to the batterybased energy sources. This overview addresses one of the areas of battery and hybrid electric car management, namely, the energy recovery during their gradual and emergency deceleration. Based on the offered classification of braking controllers, only solutions that lead to energy savings are considered here, and, first of all, those that were tested in real vehicles or in laboratories. From this side, several categories of intelligent systems are briefly analyzed, such as fuzzy logic, neural networks, and their associations.
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页数：4
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共 47 条
  • [1] Hardware-in-the-Loop Test of an Open-Loop Fuzzy Control Method for Decoupled Electrohydraulic Antilock Braking System
    Aksjonov, Andrei
    Ricciardi, Vincenzo
    Augsburg, Klaus
    Vodovozov, Valery
    Petlenkov, Eduard
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (05) : 965 - 975
  • [2] Aksjonov A, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), P584, DOI [10.1109/icmech.2019.8722909, 10.1109/ICMECH.2019.8722909]
  • [3] Algadah K.M., 2019, INT J INNOV TECHNOL, V9, P3969
  • [4] Control system optimization of spillage brake based on RBF neural network
    An, Xiaogang
    Zhu, Weiwei
    An, Na
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (23)
  • [5] Bamigboye O.O., 2016, INT J ENG INVENTIONS, V5, P51
  • [6] Neural network applications in power electronics and motor drives- An introduction and perspective
    Bose, Bimal K.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) : 14 - 33
  • [7] Artificial Intelligence Techniques : How Can it Solve Problems in Power Electronics?
    Bose, Bimal K.
    [J]. IEEE POWER ELECTRONICS MAGAZINE, 2020, 7 (04): : 19 - 27
  • [8] Changhua Lu, 2010, 2010 International Conference on Computer Design and Applications (ICCDA 2010), P308, DOI 10.1109/ICCDA.2010.5541130
  • [9] Chen Z, 2017, CHIN AUTOM CONGR, P7231, DOI 10.1109/CAC.2017.8244083
  • [10] D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process
    Gao, Shu-zhi
    Yang, Jing
    Wang, Jie-sheng
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
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