Improving Power Output of Battery and Mode Switching Frequency Based on Real-Time Average Power Method for Multi-Mode Hybrid Energy Storage System in Electric Vehicles

被引:10
|
作者
Wang, Bin [1 ,2 ]
Hu, Qiao [1 ]
Wang, Zhiyu [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
[2] Univ Canterbury, Dept Mech Engn, Coll Engn, Christchurch 8140, New Zealand
基金
中国国家自然科学基金;
关键词
Batteries; Inverters; Real-time systems; Switches; Power demand; Switching frequency; Power distribution; Electric vehicles; battery; ultra-capacitor; hybrid energy storage system; power-split strategy; mode switching; MANAGEMENT STRATEGY; ULTRACAPACITOR;
D O I
10.1109/ACCESS.2020.2974467
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a power-split strategy based on a real-time average power method is developed for improving power output of battery and mode switching frequency of a multi-mode hybrid energy storage system (HESS) in electric vehicles. To achieve mode switching and power distribution for the multi-mode HESS, a rule-based strategy is designed based on the high-frequency power demand. Furthermore, a simple real-time average power method is adopted to process the high-frequency power demand. Then, the real-time average power is used as a variable logic threshold value for the power-split strategy. Since the power-split controller responds to the smooth average power rather than the high-frequency power demand, the high-frequency mode switching of the multi-mode HESS can be avoided. The ultra-capacitor works as an enhanced low-pass power filter and the battery can supply smooth and steady output power to the motor inverter. Comparative simulations between the developed power-split strategy and the rule-based strategy are performed. The advantages of the developed power-split strategy for improving the power output of the battery and the mode switching frequency of the multi-mode HESS in electric vehicles are indicated under three typical driving cycles. Moreover, the longer time duration of the real-time average power is designed, the smoother power output of the battery and the lower mode switching frequency of the multi-mode HESS can be achieved.
引用
收藏
页码:34654 / 34663
页数:10
相关论文
共 50 条
  • [21] Reinforcement Learning Based Energy Management Strategy for Hybrid Electric Vehicles Using Multi-mode Combustion
    Zhang H.
    Fan Q.
    Wang W.
    Huang J.
    Wang Z.
    Qiche Gongcheng/Automotive Engineering, 2021, 43 (05): : 683 - 691
  • [22] Bidirectional Cuk Converter in Partial-Power Architecture with Current Mode Control for Battery Energy Storage System in Electric Vehicles
    Artal-Sevil, J. S.
    Anzola, J.
    Ballestin-Bernad, V.
    Aizpuru, I.
    2022 24TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'22 ECCE EUROPE), 2022,
  • [23] Load Frequency Control for Renewable Energy Power System Based on Sliding Mode control with Hybrid Energy Storage
    Xu, Yiwen
    Ma, Yuchen
    Han, Yunhao
    Hu, Tingting
    Lun, Xueying
    Mi, Yang
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 1340 - 1345
  • [24] An Optimal Multi-mode Power Allocation Strategy for Fuel Cell and Battery Hybrid System Based on Particle Swarm Optimization
    Wang, Siyu
    Yang, Duo
    Fu, Hanwen
    Zhong, Yazhe
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 1739 - 1744
  • [25] Ultracapacitor/Battery Hybrid Energy Storage System with Real-Time Power-Mix Control Validated Experimentally in a Custom Electric Vehicle
    Shao, Leonard
    Moshirvaziri, Mazhar
    Malherbe, Christo
    Moshirvaziri, Andishe
    Eski, Aliakbar
    Dallas, Steve
    Hurzook, Feisal
    Trescases, Olivier
    2015 THIRTIETH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2015), 2015, : 1331 - 1336
  • [26] A Fuzzy Logic based Power Management Strategy for Hybrid Energy Storage System in Hybrid Electric Vehicles Considering Battery Degradation
    Jin, Fanning
    Wang, Mengqi
    Hu, Changjian
    2016 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2016,
  • [27] Optimal Dispatch Strategy of Hybrid Power Generation with Battery Energy Storage System in Islanding Mode
    Piphitpattanaprapt, Noppasit
    Bangerdpongchai, David
    2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2015,
  • [28] An adaptive power distribution scheme for hybrid energy storage system to reduce the battery energy throughput in electric vehicles
    Ren, Yaxing
    Chen, Si
    Marco, James
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023, 45 (07) : 1367 - 1381
  • [29] Flywheel charging module for energy storage used in high-voltage pulsed and multi-mode mobility hybrid electric military vehicle power system
    Swett, DW
    Blanche, JG
    Proceedings of the 26th International Power Modulator Symposium and 2004 High Voltage Workshop, Conference Record, 2004, : 153 - 156
  • [30] A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks
    Wu, Yitao
    Zhang, Yuanjian
    Li, Guang
    Shen, Jiangwei
    Chen, Zheng
    Liu, Yonggang
    ENERGY, 2020, 208