Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions

Manfred Dollinger and Gerhard Fischerauer
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Manfred Dollinger: Center of Energy Technology (ZET), Chair of Measurement and Control Systems, Universität Bayreuth, Universitätsstr. 30, 95447 Bayreuth, Germany
Gerhard Fischerauer: Center of Energy Technology (ZET), Chair of Measurement and Control Systems, Universität Bayreuth, Universitätsstr. 30, 95447 Bayreuth, Germany

Energies, 2021, vol. 14, issue 18, 1-27

Abstract: The further development of electric mobility requires major scientific efforts to obtain reliable data for vehicle and drive development. Practical experience has repeatedly shown that vehicle data sheets do not contain realistic consumption and range figures. Since the fear of low range is a significant obstacle to the acceptance of electric mobility, a reliable database can provide developers with additional insights and create confidence among vehicle users. This study presents a detailed, yet easy-to-implement and modular physical model for both passenger and commercial battery electric vehicles. The model takes consumption-relevant parameters, such as seasonal influences, terrain character, and driving behavior, into account. Without any a posteriori parameter adjustments, an excellent agreement with known field data and other experimental observations is achieved. This validation conveys much credibility to model predictions regarding the real-world impact on energy consumption and cruising range in standardized driving cycles. Some of the conclusions, almost impossible to obtain experimentally, are that winter conditions and a hilly terrain each reduce the range by 7–9%, and aggressive driving reduces the range by up to 20%. The quantitative results also reveal the important contributions of recuperation and rolling resistance towards the overall energy budget.

Keywords: battery electric vehicle; BEV; electric truck; cruising range; real-world conditions; physical model; range prediction; consumption shares; recuperation; rolling resistance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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