Innovation Owner
นาย Pattarapong Phasukkit
Advisor
Details
This research develops a scaled-down Smart Battery Management System (BMS) demonstration kit for EVs, featuring real-time monitoring and integrated LSTM and GRU AI models for accurate battery voltage and SoC prediction.
This research develops a "Smart Battery Management System (BMS) Demonstration Kit for Electric Vehicles" — a scaled-down prototype that measures battery cell voltage, current, and temperature while precisely controlling cell balancing and charge-discharge processes, supported by a real-time dashboard. The kit integrates LSTM and GRU AI models for accurate prediction of battery voltage and State of Charge (SoC) under varying load conditions, enabling early anomaly detection and predictive maintenance. Designed for exhibition displays and as a teaching resource for higher education and vocational institutions, this demonstration kit delivers meaningful impact across education, research, and innovation development in Thailand's electric vehicle industry.
Objective
The project aims to develop a functional, scaled-down Smart BMS demonstrator for EVs, incorporating AI-driven analytics and educational resources to support industry innovation and professional training.
- To develop a functional, scaled-down prototype of a Smart Battery Management System (BMS) demonstrator for electric vehicles, suitable for exhibition displays.
- To design and develop a real-time dashboard for analyzing battery voltage and State of Charge (SoC) by applying Artificial Intelligence (AI) models such as LSTM and GRU.
- To create educational and training media on battery management systems for students, engineers, and industry professionals interested in EV technology and embedded systems.
- To enhance knowledge in BMS and AI technology, enabling further commercial development and local production of BMS for electric vehicles.
- To support the institution's exhibition at KMITL Innovation EXPO 2026 and integrate research into practical innovative applications.