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Kinetic Mechanical Engineering, 2020, 1(4); doi: 10.38007/KME.2020.010404.

New Energy Vehicle System Optimization on Hill Climbing Algorithm

Author(s)

Gachuno Eduard

Corresponding Author:
Gachuno Eduard
Affiliation(s)

Australian Natl Univ, Canberra, Australia

Abstract

New energy vehicles(NEV) include three major categories: hybrid vehicles, fuel cell vehicles, and pure electric vehicles. Pure electric vehicles are vehicles that completely use the electrical energy from the on-board battery pack as the driving energy for vehicle driving. The battery pack on pure electric vehicles can use renewable energy to replace traditional fuel, which can not only alleviate the current energy crisis, but also greatly reduce the environmental pollution caused by the automotive industry. Therefore, in the context of global countries paying more and more attention to the ecological environment, NEV, especially pure electric vehicles, are gradually being used and developed more and more. This paper establishes a new energy vehicle system, carries out current optimization for the power battery model of the system, builds a current optimization simulation model based on the hill-climbing algorithm on MATLAB simulation software, compares the current harmonic content of the stator structure of SynRM before and after the current optimization control strategy, and finds that the optimized system can improve the immunity of the electric drive products of new energy electric vehicles.

Keywords

New Energy Vehicle, Hill-Climbing Algorithm, Power Cell Model, Current Optimization Control

Cite This Paper

Gachuno Eduard. New Energy Vehicle System Optimization on Hill Climbing Algorithm. Kinetic Mechanical Engineering (2020), Vol. 1, Issue 4: 29-37. https://doi.org/10.38007/KME.2020.010404.

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