PriMera Scientific Engineering (ISSN: 2834-2550)

Research Article

Volume 5 Issue 1

Mathematical Modeling Techniques and Development of a Blended Model for Hybrid Electric Vehicle Powertrain

Rakesh V Mulik*, Senthil Kumar Arumugam

June 26, 2024


The gradual decline trend of oil resources and increasing global warming around the world have created an urgent need to search for alternate options for crude oil. Electric Vehicles (EVs) can counter the need for crude oil but they have range anxiety. Hybrid Electric Vehicles (HEVs) have proved to be a viable option for ensuring improved fuel economy and reduced emissions. The performance of the vehicle, energy consumption, and emissions depend upon the selection of different vehicle topologies.

Before manufacturing an actual HEV prototype and testing the same in the laboratory, on test tracks, and the actual field, it is important to give an appropriate consideration towards the modeling of it in a simulation environment. There exist three main stages of computational modeling in the development activity of HEVs, viz., model in the loop (MiL), software in loop (SiL) and hardware in the loop (HiL). Development of a MiL can further be classified into three main modeling approaches, viz., kinematic modeling, quasi-static modeling, and dynamic modeling. The development of a virtual simulation model is a pre-requisite for the development of an efficient control strategy for HEVs, which ultimately leads to an optimized load-leveling amongst the power plant. This paper presents a brief review of the above-mentioned modeling approaches of HEVs. The research work describes a blend of forward and backward modeling approaches for a full parallel hybrid electric powertrain. Finally, the results of fuel consumption and energy management are discussed in detail.

Keywords: Hybrid Electric Vehicle; Modelling; Simulation


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