Intelligent driving range predictor for green transport

Author:

Pai Sravan,Sindhu M R

Abstract

Abstract Deployment of large number of electric vehicles has been planned in the coming years for improving fuel economy and to meet emission standards. Government of India plans to introduce subsidy/tax rebate/incentive for EV users who utilizes electrical energy in an optimal manner. The major anxiety of people opting for EV is low driving range and the accessibility of connection to the utility grid. If a facility is available to monitor battery parameters to compute power requirements and to list out nearest charging stations, it will help EV users a lot. This paper proposes an intelligent monitoring and predicting scheme for battery state of charge, driving range and other useful information. The scheme is validated with MATLAB/Simulink simulation results.

Publisher

IOP Publishing

Subject

General Medicine

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Driving Range Estimation Using AMRIT for Prognostics Model of Electric Vehicles;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

2. State of Charge (SoC) Determination Through Extended Kalman Filter in Battery Management Systems;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

3. Battery Management System Simulator;Sustainable Communication Networks and Application;2022

4. Artificial Intelligence-Based State of Charge Estimation of Electric Vehicle Battery;Springer Proceedings in Energy;2022

5. A Bidirectional Power Converter with Shunt Active Filter for Electric Vehicle Grid Integration;Lecture Notes in Networks and Systems;2020-09-25

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