Title: Energy management optimisation for plug-in hybrid electric sports utility vehicle with consideration to battery characteristics

Authors: Long Chen; Wenyao Li; Xing Xu; Shaohua Wang

Addresses: School of Automotive and Traffic Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, 212013, China ' School of Automotive and Traffic Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, 212013, China ' School of Automotive and Traffic Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, 212013, China ' School of Automotive and Traffic Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, 212013, China

Abstract: Apart from state of charge (SoC), which is normally considered while optimising energy management strategies for hybrid electric vehicles (HEVs), this paper has proposed additional consideration to effects caused by temperature. First, the vehicle model of plug-in hybrid electric sport utility vehicle (SUV) has been modelled by using Matlab/Simulink. Then, a supervisory controller has been built based on equivalent consumption minimisation strategy (ECMS). Next, fuzzy logic controller has been designed to control the usage of the battery due to two factors: the temperature and the SoC. Finally, simulation tests are conducted under New Europe Driving Cycle (NEDC). According to the battery characteristics, the proposed strategy can penalise the usage of the battery at lower temperature and encourage it when temperature gets higher. Compared to strategies without consideration to temperature, such considerations are in line with the actual situation, especially when the temperature is really low or the trip is long.

Keywords: HEVs; hybrid electric vehicles; energy management; ECMS; equivalent consumption minimisation strategy; battery characteristics; fuzzy logic controllers; FLCs; fuzzy control; battery SoC; state of charge; battery temperature; plug-in hybrid vehicles; optimisation; hybrid electric SUVs; sports utility vehicles; battery characteristics; vehicle modelling; simulation; supervisory control.

DOI: 10.1504/IJEHV.2016.078363

International Journal of Electric and Hybrid Vehicles, 2016 Vol.8 No.2, pp.122 - 138

Received: 25 Feb 2016
Accepted: 27 Mar 2016

Published online: 15 Aug 2016 *

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