Adaptive Driving Cycles of EVs for Reducing Energy Consumption

Iwona Komorska, Andrzej Puchalski, Andrzej Niewczas, Marcin Ślęzak and Tomasz Szczepański
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Iwona Komorska: Department of Mechanical Engineering, Kazimierz Pulaski University of Technology and Humanities in Radom, Malczewskiego 29, 26-600 Radom, Poland
Andrzej Puchalski: Department of Mechanical Engineering, Kazimierz Pulaski University of Technology and Humanities in Radom, Malczewskiego 29, 26-600 Radom, Poland
Andrzej Niewczas: Motor Transport Institute, Jagiellońska 80, 03-301 Warszawa, Poland
Marcin Ślęzak: Motor Transport Institute, Jagiellońska 80, 03-301 Warszawa, Poland
Tomasz Szczepański: Motor Transport Institute, Jagiellońska 80, 03-301 Warszawa, Poland

Energies, 2021, vol. 14, issue 9, 1-18

Abstract: A driving cycle is a time series of a vehicle’s speed, reflecting its movement in real road conditions. In addition to certification and comparative research, driving cycles are used in the virtual design of drive systems and embedded control algorithms, traffic management and intelligent road transport (traffic engineering). This study aimed to develop an adaptive driving cycle for a known route to optimize the energy consumption of an electric vehicle and improve the driving range. A novel distance-based adaptive driving cycle method was developed. The proposed algorithm uses the segmentation and iterative synthesis procedures of Markov chains. Energy consumption during driving is monitored on an ongoing basis using Gaussian process regression, and speed and acceleration are corrected adaptively to maintain the planned energy consumption. This paper presents the results of studies of simulated driving cycles and the performance of the algorithm when applied to the real recorded driving cycles of an electric vehicle.

Keywords: electric vehicle; driving cycle; energy consumption; Markov chains; driving range (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 (5)

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