final ppt ABOUT ELECTRIC VEHICLE BATTERY

PPT

1. EE8811 Project Work M.A.M. COLLEGE OF ENGINEERING AND TECHNOLOGY Siruganur, Tiruchirappalli – 621 105. PROJECT TITLE: IOT BASED BATTERY MONITORING SYSTEM IN ELECTRIC VEHICLE Register Number Name of student 812020105003   ANAS.P.A 812020105025   TAMIZHARASAN.J 812020105026   VASANTH.R 812020105309 SWATHI SRI.G Under the esteemed guidance of Supervisor Name:MR.J.NAGENDRAN Designation:ASSISTANT PROFESSOR

2. IOT BASED BATTERY MONITORING SYSTEM IN ELECTRIC VEHICLE

3. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. Sl. No. Details Slide Number 1. Abstract 5 2. Introduction 6 3 Literature survey 7 -9 4 Problem definition 10 5 Block Diagram 1 1 6 Hardware Requirement 1 2-19 7 Parameters concern 20 8 Proposed solution 21 CONTENT IN THIS PRESENTATION

4. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. SI.NO Details Slide Number 9 Analysis of the parameters 2 2 10 Inference Drawn 2 3 1 1 Result 2 4 1 2 Conclusion 2 5 1 3 Scope for future continuation of this work 26 1 4 Bibliography 27 CONTENT IN THIS PRESENTATION

5. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. Electric vehicles (EV) are playing a key role because of its zero-emission of harmful gases and use of efficient energy. Electric vehicles are equipped by a large number of battery cells which require a effective battery management system (BMS) while they are providing necessary power. The battery installed in a electric vehicle should not only provide long lasting energy but also provide high power. Lead-acid, Lithium-ion, -metal hydride are the most commonly used traction batteries. Battery management system (BMS) makes decisions based on the battery charging and cell voltage, temperature, etc. ABSTRACT

6. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. At the present time, the resources that we use for electricity are costly and inefficient. That is why we must rely on those that are of in the least harmful to the environment and inexpensive. The utilization of Internet of-things (IoT) in checking the introduction of electric vehicle battery. In this work, noticing the show of the vehicle using IoT methodologies is proposed, so the checking ought to be conceivable clearly. The design and development of a battery monitoring system using IoT technology. Monitoring means keeping a check on the key operational parameters during charging and discharging such as voltage, fire and temperature. This is a hardware- timed sensor system that tracks various variables, like temperature, voltage, gas and fire and reports them on IOT so you can see exactly when everything has reached the right value. INTRODUCTION

7. Sl. No. Details of the paper 1. Electrical Method for Battery Chemical Composition Determination Objective Methodology Result The electrical method for determining battery chemical composition aims to analyze electrical properties to infer the composition and characteristics of the battery's components. In this study, proposed BCCD can also provide application flexibility to users and manufacturers who want to switch to a different type of battery chemistry. Here, more than 500000 measurements are seen that the data of batteries with different chemistries and aged at different rates from 25 to 2500 cycles overlap with each other in certain areas. LITERATURE SURVEY Sl. No. Details of the paper 2. Electric Vehicles Battery Management Network Using Blockchain IoT Objective Methodology Result One major problem electric vehicles face today is the limited range of the battery and the limited number of charging or battery swapping stations In the proposed implementation, the IOTA POW is not done locally, due to the limited resources of the Raspberry Pi board. the voltage and state of charge plots for a 2-cell and 3-cell LiPo battery, respectively. The same method can be applied for any type of EV battery.

8. Sl. No. Details of the paper 3 IoT-Based Battery Monitoring System for Electric Vehicle Objective Methodology Result The objective of an IoT-based battery monitoring system for electric vehicles is to remotely track, analyze , and manage battery health, performance, and usage in real-time to optimize efficiency and ensure safety. it is proposed to use IoT approaches to monitor and display the battery performance. Here, the various battery metrics, including voltage, current, and temperature, are tracked, observed, we might be able to improve the battery's efficiency and lifespan. The user interface and results presentation are the two main components of the proposed IoT-based battery monitoring system. Sl. No. Details of the paper 4 IoT Based Battery Monitoring System Objective Methodology Result real-time data on battery health, performance, and usage patterns, enabling proactive maintenance, efficient energy management, and enhanced safety for various applications. In this project, have used the ESP8266 to create an IoT-based battery monitoring system that lets you track many battery parameters, including voltage, current, temperature, power, and SOC. As a result, this is how we can build an IoT-based battery status monitoring system using the ESP8266 and get the reading from Thingspeak Server. If you require a device that accurately monitors your battery state, use the MAX17043 gauge IC to get beyond all the limitations imposed by this method of calculating battery %..

9. Sl. No. Details of the paper 5. Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation Objective Methodology Result providing a more robust and precise assessment of the battery's condition, charge level, health status, and power capability in dynamic operating conditions. An online adaptive strategy for high accuracy estimation of SoC , SoH and SoP to be implemented onboard of a BMS. The IMM strategy results in the generation of a mode probability that is related to battery aging. This mode probability is then combined with an estimation of the battery’s internal resistance to determine the SoH . Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105.

10. By using battery management technology we can reduce the fuel cost and environmental pollution . Now a days world is shifting towards electrified mobility to reduce the pollutant emissions caused by non renewable fossil fuel vehicles and to provide the alternative to fuel price for transportation. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. PROBLEM DEFINITION

11. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. ESP32 MICROCONTROLLER VOLTAGE SENSOR TEMPERATURE SENSOR FLAME SENSOR IOT LCD RELAY POWER SUPPLY UNIT MOTOR BATTERY CURRENT SENSOR GAS SENSOR BUZZER BLOCK DIAGRAM

12. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. HARDWARE REQUIREMENT E SP 32 MICROCONTROLLER BATTERY (12V) VOLTAGE SENSOR TEMPERATURE SENSOR FL AM E SENSOR GA S SE NS OR RELAY LCD DC M OTOR CURRENT SNSOR

13. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. Supports a wide range of operating voltages, usually from 2.2V to 3.6V. Designed for low power applications with various sleep modes an d Provides hardware-based security features such as secure boot and cryptographic accelerators. Used in industrial automation systems for monitoring and controlling processe s. E S P 3 2 M I C R OCONTROLLER

14. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. V O L TAGE SENSOR Typically offers high accuracy within the specified voltage range. Provides fine resolution to detect small changes in voltage. High input impedance to minimize loading effects on the circuit being measured. Generates an output signal proportional to the input voltage, often in the form of analog voltage or digital data.

15. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. The DS18B20 temperature sensor is a digital thermometer that provides accurate temperature readings with a resolution of 9 to 12 bits, depending on the configuration. It operates using the 1-Wire protocol, which means it communicates with a microcontroller using just one data line. Here's a basic overview of how it works and The microcontroller sends a reset signal to the sensor to start communication. TEMPERATURE SENSOR

16. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. Flame Sensor Module is used to detect fire/flame source or other light sources of the wavelength in the range of 760nm – 1100 nm. Small flames like a lighter flame can be detected at roughly 0.8m. The detection angle is roughly 60 degrees and the sensor is particularly sensitive to the flame spectrum. FLAME SENSOR

17. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. The MQ-4 gas sensor is a semiconductor sensor that detects various gases, including methane (CH4), natural gas, and other combustible gases in the air. T he gas molecules come in contact with the sensor's surface, they change its conductivity, resulting in a change in resistance. This change in resistance is then measured and used to determine the concentration of the target gas. GAS SENSOR

18. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. The four-channel relay module contains four 5V relays and the associated switching and isolating components, which makes interfacing with a microcontroller or sensor easy with minimum components and connections. There are two terminal blocks with six terminals each, and each block is shared by two relays. The terminals are screw type, which makes connections to mains wiring easy and changeable. RELAY

19. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. ACS712 current sensor is a transducer type component that is used for converting a magnetic signal into an electrical signal.These sensors measure and calculate the amount of current applied to the conductor with not affecting the performance of the system. ACS712 is used to convert the current input into a voltage output, this sensor is operate on both AC and DC.It produces analog voltage to the sensor and the analog voltage output is proportional to the measured current CURRENT SENSOR

20. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. PARAMETERS OF CONCERN SI.NO Devices Used Specification 1 Temperature sensor D S 1 8 B 2 2 Current sensor Acs 712 3 Voltage sensor 12V dc 4 Gas sensor MQ138 5 LCD 16*2 6 F l a m e sensor 3 . 3 - 5 V D C 7 IOT module E S P 3 2 8 Battery 12v l i t h ium i o n battery

21. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. * The IOT based battery management system for electric vehicle is proposed. * This system consist of voltage sensor to detect the voltage and update in IOT. * The temperature sensor is used to sense the battery temperature, if there is increase in temperature buzzer alert is given and displayed in LCD. * For safety purpose the system is interfaced with fire sensor that detects the fire in the battery and give alarm. * The overvoltage button indicates when the voltage exceeds certain level. * The measured parameters are updated in IOT and displayed in LCD display. PROPOSED SOLUTION

22. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. ANALYSIS OF THE PARAMETERS Sl. No . Parameter Existing system Proposed system 1 Ba tt ery Pe rc entage Ch ar gi ng an d Di sc ha rg ing 2 No Communication Device is used . Blynk Applications 3 Old system contains temperature sensor. Proposed system contain current, voltage, Ga s an d Fl am e sensor. 4 No IOT device is used. E SP 32 is used.

23. Cost – Dual battery system can be more expensive than single battery system. Complexity – It can make the system more difficult to install , maintain and repair. It may require more space in the vehicle. Weight- It can reduce its range and performance. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. INFERENCES DRAWN

24. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. RESULTS

25. The future scope of the IoT-based dual battery monitoring and charging system for electric vehicles is focused on enhancing battery efficiency, extending battery life, enabling smart grid integration, ensuring security, and embracing sustainable energy solutions, ultimately advancing the adoption and effectiveness of electric vehicles in our transportation ecosystem. An IoT-based battery monitoring system in electric vehicles can provide numerous benefits, such as real-time monitoring, predictive maintenance, improved battery performance and longevity, enhanced user experience, and optimized charging patterns Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. SCOPE FOR FUTURE CONTINUATION OF THIS WORK

26. In conclusion, the IoT-based dual battery monitoring and charging system for electric vehicles offers several significant advantages. It ensures optimal battery charging, prolongs battery life, and enhances the overall performance and reliability of the electric vehicle. The integration of IoT technology allows for real-time monitoring, remote control, and efficient management of the batteries. By addressing potential issues promptly and providing accurate information about battery status, this system contributes to a safer and more efficient electric vehicle experience. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. CONCLUSION

27. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. [ 1] Sheraz Aslam,Michalis P. Michaelides and Herodotos Herodotou, “Internet of Ships: A Survey on Architectures,Emerging Applications, and Challenges, IEEE INTERNET OF THINGS JOURNAL, VOL. , NO. , MAY 2020 [ 2] R. Karthickmanoj , J. Padmapriya, T. Sasilatha, “A novel pixel replacement-based segmentation and double feature extraction techniques for efficient classification of plant leaf diseases, Materials Today: Proceedings, Elseveir(Article in Press) [ 3] R. Karthickmanoj , J. Padmapriya, T. Sasilatha, “Automated machine learning based plant stress detection system”, Materials Today: Proceedings, Elseveir(Article in Press) [4]W. Menghua and X. Bing, “A Real-time Android-based Monitoring System for the Power Lithium-ion Battery Used on EVs,” 2017 10th Int. Conf. on Intelligent Computation Technology and Automation, 245-249, 2017. [ 5] S.Amirtharaj, D.Lakshmi, V.Madhan kumar, R.Zahira, “Switching Loss reduction and simulation of Quasi Z-Source Inverter System fed BLDC motor”, International Journal of Advanced Science and Technology,Vol.29, No.4(2020),pp. 1149-1157. BIBLIOGRAPHY

28. Project Work - M.A.M. College of Engineering and Technology, Siruganur, Tiruchirappalli – 621 105. THANK YOU