Dynamic Range Estimation of 3Wheeler EV.

The "Dynamic Range Estimation of 3-Wheeler Electric Vehicles (EVs)" project focuses on accurately determining the driving range of three-wheeled electric vehicles under various operating conditions. This estimation is crucial for enhancing the reliability and usability of these EVs, particularly in urban and semi-urban environments where they are commonly used for transportation and delivery services.

1. DYNAMIC RANGE ESTIMATION Mentor: Dr. Harsha Anantwar

2. OVERVIEW B.Tech Final Year 2023- 2024 2 Introduction 2. Problem Statement 3. Proposed System 4. Implementation 5. Result 6. Conclusion 7. References

3. INTRODUCTION 3 In recent times, there has been a remarkable surge in the global Electric Vehicle (EV) market, showcasing considerable prospects in the realm of EV range estimation. However, despite this expansion, EVs continue to encounter challenges in precisely depicting their range, causing inconvenience for users. B.Tech Final Year 2023- 2024

4. Accurately estimating Electric Vehicle (EV) range remains challenging, despite market growth, due to factors like battery performance and road conditions hinder precise estimation, potentially leading to unexpected stops. These issues impact user convenience and EV adoption. 4 PROBLEM STATEMENT

5. BLUEPRINT OF THE PROPOSED STUDY 5 B.Tech Final Year 2023- 2024

6. PROPOSED SYSTEM 1 2 3 At the Initial Stage, we collected raw data by testing the Lead Acid Batteried Electric Vehicle on different road conditions Secondly, through the analysis of the data collected the characteristics of EV is taken into consideration and modified correspondingly. In the Next Stage, the modified data is been uploaded in the AT Mega328P Microcontroller 6

7. PROPOSED SYSTEM 4 5 With the help of Voltage Sensor we get to now the exact Battery Voltage and perpectually the SOC percentage of the 3 Wheeler EV With the help of Display we would be able to know the accurate range of the EV along with the SOC Percentage 7

8. 8 Phase 2 Processing and Calculation Phase 4 Display and Output Phase 1 Data Collection and Input Phase 3 Simulation and Testing IMPLEMENTATION

9. RESULT The implementation of the dynamic range estimation system successfully provides users with real-time, accurate estimates of electric vehicle range. Through integration of data collection, processing, the system offers valuable insights into range, State of Charge (SOC) percentage, and road conditions, enhancing user confidence and driving experience. 9

10. 10 CONCLUSION In conclusion, the dynamic range estimation project represents a significant advancement in electric vehicle technology. By leveraging data collection, algorithms, and intuitive user interaction, the system addresses the crucial challenge of accurate range estimation. With its ability to provide precise estimates while considering various factors, including battery performance and road conditions, the project holds promise for enhancing the efficiency, reliability, and adoption of electric vehicles in the modern transportation landscape.

11. REFERENCES A. M. Lulhe and T. N. Date,"A technology review paper for drives used in electrical vehicle (EV) & hybrid electrical vehicles (HEV)," 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies C. Maini, K. Gopal and R. Prakash, "Making of an ‘all reason’ electric Vehicle," 2013 World Electric Vehicle Symposium and Exhibition C. Wang and H. Liu, "Accurate range estimation of LFM monopulse radar based on virtual sample pulse compression," The 27th Chinese Control and Decision Conference J. H. Kim, C. O. Park, J. H. Kim and J. D. Cho, "Hardware implementation for census 3D disparity map with dynamic search range estimation," Signal Processing Algorithms, Architectures, Arrangements, and Applications 11

12. THANK YOU Presented By : Tarun Kandare (RBT20EL056) Pranav Dubal (RBT20EL053) Vishwas Panchal (RBT20EL036)