A STUDY ON ACCELERATED MODEL PREDICTIVE CONTROL FOR ELECTRIC VEHICLES: Submitted: January 30, 2024, Revised: February 10, 2024, Accepted: February 16, 2024      https://doi.org/10.56815/IJMRR.V3.I1.2024/59-67

Kunal Chandra Mahato; Abhishek Kumar; Chiranjit Mahato; Shailandra Kumar Prasad

doi:10.56815/IJMRR.V3.I1.2024/59-67

Authors

Kunal Chandra Mahato Scholar, Department of Mechanical Engineering RVS College of Engineering and Technology Jamshedpur-831012, India.
Abhishek Kumar Scholar, Department of Mechanical Engineering, RVS College of Engineering and Technology Jamshedpur-831012, India.
Chiranjit Mahato Scholar, Department of Mechanical Engineering, RVS College of Engineering and Technology Jamshedpur-831012, India.
Shailandra Kumar Prasad Assistant Professor, Department of Mechanical Engineering, RVS College of Engineering and Technology Jamshedpur-831012, India.

https://doi.org/10.56815/IJMRR.V3.I1.2024/59-67

Keywords:

Electric Vehicle, Model predictive control, Energy management, Cost optimization, Performance management

Abstract

In this study, a detailed description of an accelerated model predictive control (MPC) for the electric vehicles has been evaluated. The discussion for different studies about this topic reveals that the benefits of this MPC system in developing an EV. The potential benefits of this system in sustainability and environmental protections are also discussed along with its significant optimization of resources and costs. The associated challenges regarding the implementation of this system are also included in this study. The data has been analyzed based on the identified themes from 10 most relevant literature.