Int. J. of Electric and Hybrid Vehicles   »   2017 Vol.9, No.2

 

 

Title: Battery electric vehicle energy consumption modelling for range estimation

 

Authors: Jiquan Wang; Igo Besselink; Henk Nijmeijer

 

Addresses:
Dynamics and Control Group, Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
Dynamics and Control Group, Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
Dynamics and Control Group, Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands

 

Abstract: Range anxiety is considered as one of the major barriers to the mass adoption of battery electric vehicles (BEVs). One method to solve this problem is to provide accurate range estimation to the driver. This paper describes a vehicle energy consumption model considering the influence of weather conditions and road surface dependent rolling resistance, which includes a road load, a powertrain, a regenerative braking, an auxiliary system and a battery model. The parameters of these models are obtained by different types of experiments. The energy consumption model is verified by 20 driving tests, including highway, rural and city driving. The results show that the proposed model can predict the energy consumption under different circumstances with a maximum error of 5%, which is a clear improvement over the 10% error from a simple energy consumption model. The proposed energy consumption model will be used to build a range estimator in future research.

 

Keywords: BEV; battery electric vehicle; energy consumption; modelling; weather influence; coast down test; dynamometer test.

 

DOI: 10.1504/IJEHV.2017.10006163

 

Int. J. of Electric and Hybrid Vehicles, 2017 Vol.9, No.2, pp.79 - 102

 

Submission date: 09 Oct 2016
Date of acceptance: 11 Nov 2016
Available online: 11 Jul 2017

 

 

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