Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 29 | 24V Smart Battery Charging System with Health Management |
Hongda Wu Yanbo Chen Yiwei Zhao Zhibo Zhang |
design_document3.pdf final_paper1.pdf final_paper2.docx final_paper3.docx final_paper4.pdf proposal1.pdf |
Lin Qiu | |
| **Team Members:** Yanbo Chen (yanboc2) Hongda Wu (hongdaw2) Yiwei Zhao (yiwei8) Zhibo Zhang (zhiboz3) **Problem Overview:** More intelligent charging systems became necessary because 24V battery charging systems need increased efficiency and reliability to serve applications including electric vehicles together with renewable energy storage and industrial equipment. The existing charging systems encounter multiple problems due to their inadequate efficiency combined with poor health management and safety shortcomings. Charging strategy optimization need regular health assessments to improve battery’s performance life. Key problems to address: • The charging process is inefficient and the charging time is slow The system lacks built-in monitoring tools which detect battery health status. The battery system experiences multiple failure risks because of its exposure to environmental conditions and breakdowns. The system does not effectively adjust its operations when dealing with different battery types and operational conditions. **Solution Overview:** A 24V Smart Battery Charging System functions as a solution that combines health management capabilities to generate effective reliable battery charging operations. The system features two-way operation since it both conducts battery charging and enables energy transfers to either grid power systems or alternative user applications. The solution embraces three principal elements that form its framework. 1. The efficient DC charging system uses advanced power electronic components and control algorithms to achieve peak charging efficiency while reducing charging time. 2. The system includes built-in battery health monitoring features that monitor essential parameters including voltage together with temperature and charge cycles for achieving peak battery performance over time. 3. The system incorporates sophisticated automated mechanisms for identifying and recovering from power variations as well as temperature changes and other environmental issues to reduce damage. 4. The system consists of modular modules that let users upgrade their components and add innovative battery technologies as they become available. **Solution Components:** 1. Power Electronics: Efficient DC-DC converters for fast charging. The system includes built-in voltage and current regulation which maintains optimal charging operations. This system allows its functions to operate both as a charging and discharging device. 2. Health Management System: The system includes continuous battery monitoring through (voltage, temperature and charge/discharge cycles). The system uses intelligent algorithm to establish an adaptive charging method by analyzing the battery health index. The battery lifespan can be extended through protection systems which monitor overcharge events and undercharge events as well as temperature conditions. 3. Safety Features: The system contains overload protection that protects the battery from destructive levels of current and voltage. The system contains a fault detection system which rapidly detects potential system problems. The system needs strong environmental resistance capabilities to work in different operational environments (temperature with humidity included). 4. User Interface & Control: User-friendly interface for system status monitoring and troubleshooting. The system features smart communication that enables remote monitoring together with control operations. 5. Modular Design: The design provides modular expansion capabilities which allow future growth of technological advancements and rising capacity requirements. **Criterion for Success:** The project will be considered successful based on these defined measures: Efficiency: The system achieves charging efficiency reaching rates higher than 90% which lowers energy waste during the operation. Battery Health Management: The system provides real-time battery health measurements as well as autonomous charge cycle management, which will increase battery life by at least 30 percent over standard systems. Fault Tolerance: The system needs to perform fast fault detection along with automatic recovery which stops both battery degradation and whole system structural failures. Safety: Safety standards for this system demand that it includes protection against overload, short circuits, overvoltage, undervoltage and high and low temperature conditions. Expandability: The system needs to have modular features which allow integration with various battery types both present and those that will emerge as new battery technologies develop. Environmental Adaptability: The system needs to perform its tasks reliably when exposed to different environmental factors (temperature changes and humidity levels included). |
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