Title: Multi-objective optimal driving strategies for hybrid electric motorcycles with parallel configuration

Authors: Jhon Vargas; Gilberto Osorio-Gómez; Tatiana Manrique Espíndola

Addresses: Design Engineering Research Group (GRID), Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín, Colombia ' Design Engineering Research Group (GRID), Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín, Colombia ' Departamento de Ingeniería Mecatrónica, Universidad EIA, Km 2+200 Variante Aeropuerto JMC Envigado, 055428, Colombia

Abstract: This paper discusses the problem of determining optimal driving strategies for a 125 cc street type motorcycle with a parallel hybrid configuration. A brief literature review of different types of hybrid motorcycles and energy management strategies indicates that there is a research gap for control and driving strategies for street type motorcycles. Then, typical characteristics of hybrid parallel architecture are analysed in order to formulate different optimal performance indices, and to propose a dynamic model of a parallel hybrid electric motorcycle based on the energetic macroscopic representation EMR. The optimal performance indices are formulated as three different driving strategies, or operation modes, stated as long range, sport and normal. Each strategy is detailed with its corresponding performance functions and costs, based in the state space vector defined for the dynamic model.

Keywords: parallel hybrid motorcycle; dynamic model; optimisation objectives; driving strategies; driving modes; energy management.

DOI: 10.1504/IJEHV.2021.123478

International Journal of Electric and Hybrid Vehicles, 2021 Vol.13 No.3/4, pp.211 - 239

Received: 30 Jun 2020
Accepted: 17 Aug 2020
Published online: 23 Jun 2022 *

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