Joint Propulsion and Cooling Energy Management of Hybrid Electric Vehicles by Optimal Control

被引:11
|
作者
Chen, Boli [1 ]
Li, Xuefang [2 ,3 ]
Evangelou, Simos A. [4 ]
Lot, Roberto [5 ]
机构
[1] UCL, Dept Elect & Elect Engn, London WC1E 6BT, England
[2] Sun Yat Sen Univ, Guangdong Prov Key Lab Intelligent Transportat Sy, Guangzhou 510275, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Guangdong, Peoples R China
[4] Imperial Coll London, Depratment Elect & Elect Engn, London SW7 2BU, England
[5] Univ Southampton, Dept Engn & Environm, Southampton SO16 7PP, Hants, England
基金
英国工程与自然科学研究理事会;
关键词
Road vehicle electric propulsion; energy management; fuel optimal control; thermal management; THERMAL-MANAGEMENT; NONLINEAR-CONTROL; CONTROL STRATEGY; OPTIMIZATION;
D O I
10.1109/TVT.2020.2976726
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
This paper develops an optimal control methodology for the energy management (EM) of a series hybrid electric vehicle (HEV) with consideration of ancillary cooling losses, to minimize fuel consumption. Both engine and battery thermal management (TM) models are integrated into the HEV powertrain model as they interact with each other during operation. By collecting all components for propulsion and cooling, a control-oriented model is established, which enables the joint EM and TM optimization problem to be solved simultaneously. Experimental driving cycles are utilized to reveal the impact of the cooling losses on the fuel economy under different driving circumstances. The case study shows the effectiveness of the proposed strategy in finding the optimal power sharing of the hybrid powertrain with consideration of both propulsion and overall cooling requirements. Moreover, a benchmark method based on separately optimized EM and conventional thermostat and PI controlled cooling systems is introduced to verify the solution quality of the proposed approach. It is demonstrated that the proposed method outperforms the benchmark by 0.7%-2.49% in terms of fuel economy, depending on the driving scenarios.
引用
收藏
页码:4894 / 4906
页数:13
相关论文
共 50 条
  • [1] Optimal Control and Energy Management for Hybrid Gas-Electric Propulsion
    Richter, Hanz
    Connolly, Joseph W.
    Simon, Donald L.
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2020, 142 (09):
  • [2] Optimal Energy Management and Velocity Control of Hybrid Electric Vehicles
    Uebel, Stephan
    Murgovski, Nikolce
    Tempelhahn, Conny
    Baeker, Bernard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (01) : 327 - 337
  • [3] Optimal Vehicle Following Strategy for Joint Velocity and Energy Management Control of Series Hybrid Electric Vehicles
    Pan, Xiao
    Chen, Boli
    Evangelou, Simos A.
    IFAC PAPERSONLINE, 2020, 53 (02): : 14161 - 14166
  • [4] Optimal energy management in series hybrid electric vehicles
    Brahma, A
    Guezennec, Y
    Rizzoni, G
    PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 60 - 64
  • [5] Energy Management Strategy of a Propulsion System with Supercapacitors for Electric and Hybrid Vehicles
    Elsayed, Waled M.
    Estima, Jorge O.
    Boccaletti, Chiara
    Cardoso, Antonio J. Marques
    2016 IEEE INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (PEMC), 2016, : 1210 - 1215
  • [6] Control of Electric Propulsion Drives in Electric and Hybrid Vehicles
    Boecker, J.
    Huber, T.
    Meyer, M.
    Peters, W.
    Pohlenz, D.
    Specht, A.
    AT-AUTOMATISIERUNGSTECHNIK, 2010, 58 (10) : 599 - 608
  • [7] Tracking Control and Energy Management of Hybrid Electric Vehicles
    Zhao X.-C.
    Guo G.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (01): : 162 - 170
  • [8] Energy sources control and management in hybrid electric vehicles
    Cheng, Yonghua
    Van Mierlo, Joeri
    Van den Bossche, Peter
    Lataire, Philippe
    2006 12TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, 2006, : 2067 - +
  • [9] Energy Management Control and Optimization for Hybrid Electric Vehicles
    Torreglosa, Juan P.
    APPLIED SCIENCES-BASEL, 2022, 12 (18):
  • [10] An Optimal Regulation Strategy for Energy Management of Hybrid Electric Vehicles
    Sampathnarayanan, Balaji
    Onori, Simona
    Yurkovich, Stephen
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 7063 - 7068