Title: Modelling of electric vehicle drive toward its range prediction and remaining battery SOC after trip completion

Authors: Sutapa Mondal; Mousumi Khanra; Arup Kumar Nandi

Addresses: Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India ' Department of Electronics and Communication Engineering, Mallabhum Institute of Technology, Bishnupur, Bankura-722122, India ' CSIR-Central Mechanical Engineering Research Institute (CSIR-CMERI), MG Avenue, Durgapur-713209, West Bengal, India

Abstract: Prediction of range and remaining battery state-of-charge after trip completion is necessary beforehand for electric vehicle (EV) deployment towards trip performing. Present paper presents an EV drive model for a micro-trip which includes all possible aspects (such as route information, traffic norms, driving behaviour and external disturbances) along with the regenerative braking for a (pure) electric vehicle. Driver's primary inputs to the model are the vehicle initial speed, initial battery state-of-charge, driving strategy to be followed and remaining distance of the route to be performed. Data related to the corresponding route are collected and fed to the model as secondary inputs. The model is validated by comparing the simulated data with that of experimental values of a commercial EV and analysing the variations of critical parameters of EV components. The importance of EV drive model is established by analysing the effects of route parameters and driving behaviour on EV range.

Keywords: electric vehicle; EV drive modelling; prediction; range; remaining battery SOC; state-of-charge; micro-trip; trip time.

DOI: 10.1504/IJEHV.2021.117857

International Journal of Electric and Hybrid Vehicles, 2021 Vol.13 No.2, pp.145 - 172

Received: 28 Apr 2020
Accepted: 16 Aug 2020
Published online: 04 Oct 2021 *

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