PENINGKATAN KINERJA KOMUNIKASI DATA SISTEM MANAJEMEN BATERAI CERDAS E-TRIKE ITB

• Main Author: Abdul Hadi, Rama
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/85674
• Institution: Institut Teknologi Bandung

The Battery Management System (BMS) is an essential component in electric vehicles, responsible for monitoring, control, protection, and maintaining the performance of the battery system. In the ITB E-Trike electric vehicle, the BMS consists of cell boards that acquire voltage, temperature, and current data; a local module that processes monitoring data and provides battery protection; and a central module that functions as a database system for historical data and a cloud system for storing battery data reports for the ITB E-Trike. Data communication utilizes the onewire protocol for digital data acquisition from the cell boards, the CAN bus protocol for interconnection with other systems in the E-Trike, and TCP/IP for connection to computer or internet networks. The complexity of data communication in the ITB E-Trike BMS leads to communication failures, such as data transmission loss and slow data acquisition processes. This is caused by the large number of battery cells processed in series and synchronous communication. These communication failures or delays can result in inaccurate battery condition estimates, which ultimately hinder the BMS’s ability to provide protection or maintain the overall performance of the battery system. This work aims to improve the veracity and velocity of data communication in the BMS by optimizing algorithms, data communication processes, and battery condition estimation. The optimization of the embedded system uses a real-time operating system (RTOS) to enable multitasking within the BMS. An evaluation of the sequential data communication method was conducted before and after the optimization process on the local and central BMS modules. The results of algorithm improvements and process optimization show a 28.76-fold increase in data communication performance from the local to central modules. Overall, the improvements and optimizations have resulted in a 2.1-fold increase in system performance from the cell boards to the cloud system, compared to the previous system.