An Energy Management System for a Battery Ultracapacitor Hybrid Electric Vehicle

被引:20
|
作者
Shah, Varsha A. [1 ]
Karndhar, Sanjay G. [1 ]
Maheshwari, Ranjan [1 ]
Kundu, Prasanta [1 ]
Desai, Hardik [1 ]
机构
[1] SV Natl Inst Technol, Surat 395007, India
来源
2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS | 2009年
关键词
Hybrid electric vehicle (HEV); Ultracapacitor; Battery; Indian Driving Cycle; Energy Management Algorithm (EMA); Battery state of charge (SOC); Electrical vehicles (EV); CONTROL STRATEGIES; AGENT;
D O I
10.1109/ICIINFS.2009.5429825
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 simple and efficient power split rule based energy management algorithm is designed for optimal sharing of energy between different energy sources in parallel HEV. This algorithm is simulated in MATLAB for Indian driving cycle (urban drive cycle) and Indian express highway drive cycle. The results indicate that the split of power can allow the engine to operate at its best efficiency and the life of battery can also be improved significantly with the introduction of ultracapacitor by maintaining the battery state of charge (SOC) within desired limits.
引用
收藏
页码:408 / 413
页数:6
相关论文
共 50 条
  • [31] Control Strategy for Battery-Ultracapacitor Hybrid Energy Storage System
    Garcia, F. S.
    Ferreira, A. A.
    Pomilio, J. A.
    APEC: 2009 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, VOLS 1- 4, 2009, : 826 - +
  • [32] Towards a smarter hybrid energy storage system based on battery and ultracapacitor - A critical review on topology and energy management
    Xiong, Rui
    Chen, Huan
    Wang, Chun
    Sun, Fengchun
    JOURNAL OF CLEANER PRODUCTION, 2018, 202 : 1228 - 1240
  • [33] The Impact of Hybrid Energy Storage System on the Battery Cycle Life of Replaceable Battery Electric Vehicle
    Zhang, Wei
    Yang, Jue
    WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (09):
  • [34] Quantitative Analysis on Energy Efficiency of A Battery-Ultracapacitor Hybrid System
    Zhao, Chen
    Yin, He
    Noguchi, Yohei
    Ma, Chengbin
    2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 1829 - 1835
  • [35] Two-level Energy Management Strategy for a Fuel Cell-Battery-Ultracapacitor Hybrid System
    Zhao, Chen
    Yin, He
    Ma, Chengbin
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 2135 - 2140
  • [36] An advanced energy management system for controlling the ultracapacitor discharge and improving the electric vehicle range
    Armenta, Jesus
    Nunez, Ciro
    Visairo, Nancy
    Lazaro, Isabel
    JOURNAL OF POWER SOURCES, 2015, 284 : 452 - 458
  • [37] Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle
    Xu, Bin
    Shi, Junzhe
    Li, Sixu
    Li, Huayi
    Wang, Zhe
    ENERGY, 2021, 229
  • [38] Energy Management of Battery-PEM Fuel Cells Hybrid Energy Storage System for Electric Vehicle
    Mokrani, Z.
    Rekioua, D.
    Mebarki, N.
    Rekioua, T.
    Bacha, S.
    PROCEEDINGS OF 2016 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 16), 2016, : 985 - 990
  • [39] An artificial intelligence and improved optimization-based energy management system of battery-fuel cell-ultracapacitor in hybrid electric vehicles
    Jondhle, Harsh
    Nandgaonkar, Anil B.
    Nalbalwar, Sanjay
    Jondhle, Sneha
    JOURNAL OF ENERGY STORAGE, 2023, 74
  • [40] A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system
    Aktas, Ahmet
    Kircicek, Yagmur
    ENERGY, 2020, 199