Hybrid Electric Vehicles: A mini Overview

Muhammad, Aisha; Haruna, I.

doi:10.15282/jmmst.v5i1.6055

Cited by 2 publications

(1 citation statement)

References 53 publications

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“…HEVs have the potential to reduce fuel consumption and emissions significantly, while meeting vehicle power demands and maintaining satisfactory vehicle performance [5][6][7]. HEVs combine the use of an engine and electric motors, resulting in better fuel efficiency and lower emissions, further reducing dependence on fossil fuels and environmental impact [8,9]. The power required by the vehicle at any time can be provided by one or a combination of these energy sources [10].…”

Section: Introductionmentioning

confidence: 99%

Energy Management Systems’ Modeling and Optimization in Hybrid Electric Vehicles

Altun,

Kutlar

2024

Energies

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Optimization studies for the energy management systems of hybrid electric powertrains have critical importance as an effective measure for vehicle manufacturers to reduce greenhouse gas emissions and fuel consumption due to increasingly stringent emission regulations in the automotive industry, strict fuel economy legislation, continuously rising oil prices, and increasing consumer awareness of global warming and environmental pollution. In this study, firstly, the mathematical model of the powertrain and the rule-based energy management system of the vehicle with a power-split hybrid electric vehicle configuration are developed in the Matlab/Simulink environment and verified with real test data from the vehicle dynamometer for the UDDS drive cycle. In this way, a realistic virtual test platform has been developed where the simulation results of the energy management systems based on discrete dynamic programming and Pontryagin’s minimum principle optimization can be used to train the artificial neural network-based energy management algorithms for hybrid electric vehicles. The average fuel consumption in relation to the break specific fuel consumption of the internal combustion engine and the total electrical energy consumption of the battery in relation to the operating efficiency of the electrical machines, obtained by comparing the simulation results at the initial battery charging conditions of the vehicle using different driving cycles, will be analyzed and the advantages of the different energy management techniques used will be evaluated.

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Section: Introductionmentioning

confidence: 99%

Energy Management Systems’ Modeling and Optimization in Hybrid Electric Vehicles

Altun,

Kutlar

2024

Energies

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Fabrication and Simulation of an E-Vehicle

Anusha,

Srikanth,

Nirmal Devi Kiran

et al. 2024

E3S Web Conf.

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An electric vehicle is one that is powered by on-board electric sources and is driven by electric motors. Electric vehicles have emerged only because of the rise in cost of fuels and pollution. As they are ecologically sound, they are referred to as green transportation. The electric motor based was selected based on its rating of energy efficient. The rated values of the vehicle dynamics include on various parameters e.g motor output, power, traction-torque and speed. The motor rating is adjusted according to the carrying load, so as to achieve the characteristics of traction. The IC engine of the traditional vehicles is replaced by the electric motor which would act as the leading prime mover component used to drive the E-vehicle. Thus, the selected electric motor provides an adequate power for traction purpose. The structural optimization of the vehicle in-terms of deflection, proof-resilience and Von-misses stress analysis has been carried out using FEA software. EVs are gaining popularity due to their low emissions, reduced operating costs and advances in battery technology, which have increased their range and performance.

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Hybrid Electric Vehicles: A mini Overview

Cited by 2 publications

References 53 publications

Energy Management Systems’ Modeling and Optimization in Hybrid Electric Vehicles

Energy Management Systems’ Modeling and Optimization in Hybrid Electric Vehicles

Fabrication and Simulation of an E-Vehicle

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