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.2017.085336

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

Received: 20 Oct 2016
Accepted: 11 Nov 2016
Published online: 23 Jul 2017 *

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