This document discusses analyzing the performance of electric vehicles (EVs) considering various influencing factors. It aims to examine EV performance by analyzing factors like the vehicle, environment, and driver conditions. It proposes a machine learning model to predict EV energy consumption and range based on real-world driving data fragments accounting for vehicle, environmental, and driver factors. Future work will involve applying this model to additional datasets to further study the impact of internal factors on EV energy usage.

1. ABSTRACT
• Usage of electric vehicles is increasing day by day and it becomes very important to predict the
performance of electric vehicles.
• The performance of electric vehicles are influenced by so many factors both internal properties and
external conditions.
• This work aims at analyzing the performance of EVs considering most influencing factors like
vehicle, environment and driver condition.
• Performance of various frameworks are likely to be examined.
Analysis of Electric Vehicle Performance
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ABSTRACT

2. CONTENTS
• Domain
• Problem Statement
• Literature Survey
• Proposed Approach
• Future Activity
Analysis of Electric Vehicle Performance
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CONTENTS

3. DOMAIN
This problem is associated with prediction of performance of EVs in various realistic
conditions. This problem is referring to National Monitoring and Management Platform for
New Energy Vehicles which is focused like electric taxis, buses, sanitation vehicles.
Analysis of Electric Vehicle
Performance
DOMAIN

4. PROBLEM STATEMENT
• This work is focused on examining the performance of electric vehicle taking in
to consideration different internal and external factors.
Aalysis of Electric Vehicle Performance
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PROBLEM STATEMENT

5. LITERATURE SURVEY
• Energy consumption analysis and prediction of electric vehicles based on real-world driving data.
• Jin Zhang, Zhenpo Wang, Peng Liu, Zhaosheng Zhang 2020.
 The paper proposed a novel machine learning based energy consumption framework.
 http://www.sciencedirect.com/science/article/abs/pii/S030626192030920X
 https://sci-hub.ee/10.1016/j.apenergy.2020.115408
• Performance prediction of an electric vehicle
• C. Landman, A J . Rix 2019.
The paper analyzed the factors which affects the energy consumption of electric vehicles.
https://ieeexplore.ieee.org/document/8704770
https://sci-hub.ee/10.1109/RoboMech.2019.8704770
Aalysis of Electric Vehicle Performance
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LITERATURE SURVEY

6. LITERATURE SURVEY
• Prediction of electric vehicle range.
• Bogdan Ovidiu Varga , Arsen Sagoian and Florin Mariasiu. Published: 12 March 2019.
 The paper comprehensively gone through electric vehicle range prediction.
 https://www.mdpi.com/1996-1073/12/5/946
 https://sci-hub.ee/10.3390/en12050946
• Modelling and performance analysis of electric vehicle
• B. Sharmila, K. Srinivasan, D. Devasena, M. Suresh, Hitesh Panchal, R.Ashokkumar, R. Meenakumari, Kishor Kumar sadasivuni &
Ronakkumar Rajnikant Shah. 2021.
The paper has given the designing of an electric vehicle model, to enhance energy efficiency, reduce emissions, high
performance and low-maintenance
https://www.researchgate.net/publication/351716419_Modelling_and_performance_analysis_of_electric_vehicle/download
Aalysis of Electric Vehicle Performance
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LITERATURE SURVEY

7. Data
Fragment division
Kinematic fragments
Trip fragments
MMC model Current state and velocity
Future energy consumption prediction
results
Grid search Kfold Training data
Feature of driving
conditions
Optimized energy consumption
prediction model
XGBoost
Optimized hyperparameters
Prediction model training and optimization
Model input Model output
Feature extraction
PROPOSED MODEL
Aalysis of Electric Vehicle Performance
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PROPOSED MODEL

8. Aalysis of Electric Vehicle Performance
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CONCLUSION
FUTURE ACTIVITY
 Using the three-level driving fragments, the influence of vehicle, environment, and driver-
related factors on energy consumption of EVs are expected to study.
 A novel machine learning-based framework for EVs energy consumption prediction under
real-world driving conditions has been studied carefully.
 I will consider this work as base for my future analysis by extending this work by including
more internal factors.
 I am in search of accessing datasets and once I finds the dataset I will use the model which I
have proposed for predicting the performance of Electric Vehicle.

9. Electric Vehicle Performance Analysis
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THANK YOU