Energy management with dual droop plus frequency dividing coordinated control strategy for electric vehicle applications

被引:10
|
作者
Li, Wuhua [1 ]
Xu, Chi [1 ]
Yu, Hongbin [1 ]
Gu, Yunjie [1 ]
He, Xiangning [1 ]
机构
[1] Zhejiang Univ, Hangzhou 310027, Zhejiang, Peoples R China
关键词
Dual droop control; Frequency diving coordinated control; Hybrid energy storage system; Electric vehicle; BATTERY; STORAGE; SYSTEM;
D O I
10.1007/s40565-015-0123-1
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
In this paper, a dual droop-frequency diving coordinated control strategy is proposed for electric vehicle (EV) applications, where the hybrid energy storage system (HESS) with supercapacitors and batteries is integrated to prolong the life time of storage elements. The dynamic power allocation between the supercapacitor and batteries are obtained through the voltage cascaded control, upon which the high and low frequency power fluctuation are absorbed by the supercapacitors and batteries respectively to fully exploit the advantages of the supercapacitors and batteries. Moreover, the power capacity is scaled up by connecting storage blocks in parallel. A dual droop control scheme for parallel-connected energy storage system and its operation principle is introduced on the aspect of current sharing characteristic and state-of-charging (SOC) management. After detailed analysis and formula derivation, the corresponding loop parameters are designed. Through this control method, the current sharing performance is ensured and each block makes the self-adaptive adjustment according to their SOC. Consequently, the load power can be shared effectively, which helps to avoid the over-charge/ over-discharge operation and contributes to the life cycle of the energy storage system. Each module is autonomous controlled without the necessity of communication, which is easy, economic and effective to realize. Finally, the simulation and experimental results are exhibited to verify the effectiveness of the proposed control scheme.
引用
收藏
页码:212 / 220
页数:9
相关论文
共 50 条
  • [32] Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer
    Xue, Qicheng
    Zhang, Xin
    Chen, Hongwei
    Yue, Meiling
    Teng, Teng
    Yu, Jiangbin
    [J]. HELIYON, 2024, 10 (05)
  • [33] Coordinated Optimization Strategy of Electric Vehicle Cluster Participating in Energy and Frequency Regulation Markets Considering Battery Lifetime Degradation
    Zhang, Qian
    Deng, Xiaosong
    Yue, Huanzhan
    Sun, Tao
    Liu, Zhiqiang
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (01): : 72 - 81
  • [34] Control strategy based on BP neutral network plus PID algorithm for dual electric tracked vehicle steering
    Chen Ze-yu
    Zhang Cheng-ning
    [J]. 2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 2, 2010, : 584 - 587
  • [35] A Novel Coordinated Droop Control strategy for Energy Management of a Multi-terminal Low-voltage DC-Nanogrid
    Adnan, Wasif
    [J]. 2021 IEEE FOURTH INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), 2021,
  • [36] Energy management strategy for plug-in hybrid electric vehicle integrated with vehicle-environment cooperation control
    Zhang, Yuanjian
    Chu, Liang
    Fu, Zicheng
    Xu, Nan
    Guo, Chong
    Zhao, Di
    Ou, Yang
    Xu, Lei
    [J]. ENERGY, 2020, 197
  • [37] Improvement on Flux Weakening Control Strategy for Electric Vehicle Applications
    Bianchini, Claudio
    Franceschini, Giovanni
    Torreggiani, Ambra
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (05):
  • [38] Fuzzy Control Strategy and Simulation for Dual Electric Tracked Vehicle Motion Control
    Chen Ze-yu
    Zhao Guang-yao
    [J]. MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 309 - 312
  • [39] Energy management strategy of microgrid energy storage unit based on adaptive droop control
    Wang, Junrui
    Dai, Li
    Qiao, Xuanjing
    Bai, Bingchao
    Wu, Xinju
    Zhao, Dongqi
    [J]. 2022 IEEE 17TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2022, : 1014 - 1018
  • [40] Adaptive Energy Management Strategy of Fuel Cell Electric Vehicle
    Sun, Yan
    Xia, Changgao
    Yin, Bifeng
    Yu, Yingxiao
    Han, Jiangyi
    Gao, Haiyu
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2022, 23 (05) : 1393 - 1403