A stochastic method for the energy management in hybrid electric vehicles

被引:39
作者
Payri, F. [1 ]
Guardiola, C. [1 ]
Pla, B. [1 ]
Blanco-Rodriguez, D. [1 ]
机构
[1] Univ Politecn Valencia, CMT Motores Term, E-46022 Valencia, Spain
关键词
Energy management; Hybrid vehicles; Optimal control; Stochastic control; CONTROL POLICY;
D O I
10.1016/j.conengprac.2014.01.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There are many approaches addressing the problem of optimal energy management in hybrid electric vehicles; however, most of them optimise the control strategy for particular driving cycles. This paper takes into account that the driving cycle is not a priori known to obtain a near-optimal solution. The proposed method is based on analysing the power demands in a given receding horizon to estimate future driving conditions and minimise the fuel consumption while cancelling the expected battery energy consumption after a defined time horizon. Simulations show that the proposed method allows charge sustainability providing near-optimal results. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:257 / 265
页数:9
相关论文
共 21 条
[1]   Explicit optimal control policy and its practical application for hybrid electric powertrains [J].
Ambuehl, Daniel ;
Sundstroem, E. ;
Sciarretta, Antonio ;
Guzzella, Lino .
CONTROL ENGINEERING PRACTICE, 2010, 18 (12) :1429-1439
[2]  
[Anonymous], IFAC WORKSH ENG POW
[3]  
[Anonymous], 2010, 2010 IEEE VEHICLE PO
[4]  
Basseville M, 1993, DETECTION ABRUPT CHA
[5]   Multi-Information Integrated Trip Specific Optimal Power Management for Plug-In Hybrid Electric Vehicles [J].
Bin, Yang ;
Li, Yaoyu ;
Gong, Qiuming ;
Peng, Zhong-Ren .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :4607-+
[6]   Predictive Energy Management of a Power-Split Hybrid Electric Vehicle [J].
Borhan, H. Ali ;
Vahidi, Ardalan ;
Phillips, Anthony M. ;
Kuang, Ming L. ;
Kolmanovsky, Ilya V. .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :3970-+
[7]   Supervisory control of hybrid powertrains: An experimental benchmark of offline optimization and online energy management [J].
Chasse, A. ;
Sciarretta, A. .
CONTROL ENGINEERING PRACTICE, 2011, 19 (11) :1253-1265
[8]  
Gong Q., 2011, 2011 American Control Conference - ACC 2011, P2119
[9]   Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming [J].
Johannesson, Lars ;
Asbogard, Mattias ;
Egardt, Bo .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2007, 8 (01) :71-83
[10]   Predictive energy management for hybrid vehicle [J].
Kermani, S. ;
Delprat, S. ;
Guerra, T. M. ;
Trigui, R. ;
Jeanneret, B. .
CONTROL ENGINEERING PRACTICE, 2012, 20 (04) :408-420