Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle
Wang, H; Huang, Y; Khajepour, A; Song, Q
Applied Energy 182: 105-114
2016
ISSN/ISBN: 0306-2619
DOI: 10.1016/j.apenergy.2016.08.085
Accession: 064880798
PDF emailed within 0-6 h: $19.90
Related References
Ma, Y.; Li, C.; Wang, S. 2022: Multi-objective energy management strategy for fuel cell hybrid electric vehicle based on stochastic model predictive control Isa Transactions 2022Wang, Y.; Wang, X.; Sun, Y.; You, S. 2018: Model predictive control strategy for energy optimization of series-parallel hybrid electric vehicle Journal of Cleaner Production 199: 348-358
Xie, S; He, H; Peng, J 2017: An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses Applied Energy 196: 279-288
Xiang, C; Ding, F; Wang, W; He, W 2017: Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control Applied Energy 189: 640-653
Xie, S.; Hu, X.; Xin, Z.; Brighton, J. 2019: Pontryagins Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus Applied Energy 236: 893-905
Fengjun, Y.A.N.; Junmin, W.A.N.G.; Huang, K. 2012: Hybrid Electric Vehicle Model Predictive Control Torque-Split Strategy Incorporating Engine Transient Characteristics IEEE Transactions on Vehicular Technology 61(6): 2458-2467
Yuan, Z.O.U.; Sun, F.C.; Zhang, C.N.; Li, J.Q. 2012: Optimal energy management strategy for hybrid electric tracked vehicles International Journal of Vehicle Design 58(2-4): 307-324
Shen, P.; Zhao, Z.; Zhan, X.; Li, J.; Guo, Q. 2018: Optimal energy management strategy for a plug-in hybrid electric commercial vehicle based on velocity prediction Energy 155: 838-852
Yang, C; Du, S; Li, L; You, S; Yang, Y; Zhao, Y 2017: Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle Applied Energy 203: 883-896
Liu, T.; Wang, B.; Yang, C. 2018: Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning Energy 160: 544-555
Chindamo, D.; Economou, J. T.; Gadola, M.; Knowles, K. 2014: A neurofuzzy-controlled power management strategy for a series hybrid electric vehicle Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 228(9): 1034-1050
Beck, R.; Bollig, A.; Abel, D. 2007: Comparison of Two Real-Time Predictive Strategies for the Optimal Energy Management of a Hybrid Electric Vehicle Rencontres Scientifiques de l'Ifp 2006 62(4): 635-643
Wieczorek, M; Lewandowski, Mław 2017: A mathematical representation of an energy management strategy for hybrid energy storage system in electric vehicle and real time optimization using a genetic algorithm Applied Energy 192: 222-233
Fiori, C.; Ahn, K.; Rakha, H.A. 2018: Microscopic series plug-in hybrid electric vehicle energy consumption model: Model development and validation Transportation Research Part D: Transport and Environment 63: 175-185
Li, S.G.; Sharkh, S.M.; Walsh, F.C.; Zhang, C.N. 2011: Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic IEEE Transactions on Vehicular Technology 60(8): 3571-3585