Prediction of Electric Vehicle Driving Range and Performance Characteristics: A Review on Analytical Modeling Strategies With Its Influential Factors and Improvisation Techniques-Reference-Cited by-同舟云学术

Prediction of Electric Vehicle Driving Range and Performance Characteristics: A Review on Analytical Modeling Strategies With Its Influential Factors and Improvisation Techniques

Published:2023 Issue: Volume:11 Page:131521-131548
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gurusamy Azhaganathan¹^ORCID,Ashok Bragadeshwaran¹,Mason Byron²^ORCID

Affiliation:

1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

2. Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K.

Funder

Royal Academy of Engineering

Engineering and Physical Sciences Research Council (EPSRC) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323278.pdf?arnumber=10323278

Reference249 articles.

1. A Review of Electric Vehicle Load Open Data and Models

2. Modelling, Simulations, and Optimisation of Electric Vehicles for Analysis of Transmission Ratio Selection

3. Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review

4. Pure Electric Vehicle Power-train Parameters Matching based on Vehicle Performance

5. Analysis of the Current Electric Battery Models for Electric Vehicle Simulation

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