Electromechanical Analysis of Electric Vehicle Efficiency Prediction Using Artificial Neural Networks and MATLAB

Safaa A. Jasim

Authors

Safaa A. Jasim Ministry of Education, Iraq

Abstract

With the advent of electric mobility, which is aimed at the global shift towards clean energy, electric vehicles (EVs) have garnered considerable interest and are becoming predominant in Promoting green transport. More concerns also need to be directed towards ensuring energy efficiency in forecasting vehicle km/kWh for the enhance performance of the vehicle range. The analysis presented here employs artificial Neural Networks (ANN) in modeling and predicting the performance of the electric vehicle based on parameters such as voltage, current, temperature, vibration and load. The ANN model was constructed and trained through a Matlab interface. The figures dew the efficacy of the model testing, a MSE of 0.408 is achieved. The graph illustrates the accurate prediction of efficiency values and the actual ones. The ANN model has also shown its capability of modeling the complex interactions between variables that are not linear, hence its relevance in Energy optimization of electric vehicles for enhanced efficiencies. The research additionally demonstrates another potential area of application of machine learning techniques in the enhancement of electric vehicles and eventually in the search for eco-friendly transportation systems.

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