IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE

Electric bike is one of the vehicles that currently often studied as an alternative solution for eco-friendly transportation. The important component in electric bike is the battery, which acts as energy storage. Meanwhile, Indonesian electric bike products still use Valve Regulated Lead Acid (VRLA)...

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Main Author: Astar Al Kaadzimi, Malik
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/36413
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:36413
spelling id-itb.:364132019-03-12T13:26:45ZIMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE Astar Al Kaadzimi, Malik Indonesia Final Project Open Circuit Voltage, State of Charge, Dual Polarization, Recursive Least Square INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/36413 Electric bike is one of the vehicles that currently often studied as an alternative solution for eco-friendly transportation. The important component in electric bike is the battery, which acts as energy storage. Meanwhile, Indonesian electric bike products still use Valve Regulated Lead Acid (VRLA) battery which gives significant amount of weight to the bike. Moreover, the current battery management system does not exhibit enough information in order to assess the battery condition accurately – which leads to suboptimal battery usage and maintenance. Alternative solution in terms of battery management system – that can measure condition of the battery accurately – is deemed necessary. This research designed and implemented a new microcontroller-based battery management system for one of the Indonesian electric bike products. Lithium-ion battery – which have higher energy density and efficiency than a VRLA battery – is used. The battery is modeled by dual polarization method (DP), which then used to obtain the open circuit voltage value. This value is estimated with recursive least square method. Another measured parameters of the battery is the state of charge (SOC) and temperature. Monitoring is done with microcontroller which integrated with user interface system based on Android, using Firebase as the data storage. The result showed that the litium-ion battery perform the stable capacity on 12.51 Ah. Consequently, the battery management system was able to afford Root Mean Square Error (RMSE) value of SOC as maximum as 2.47 %. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Electric bike is one of the vehicles that currently often studied as an alternative solution for eco-friendly transportation. The important component in electric bike is the battery, which acts as energy storage. Meanwhile, Indonesian electric bike products still use Valve Regulated Lead Acid (VRLA) battery which gives significant amount of weight to the bike. Moreover, the current battery management system does not exhibit enough information in order to assess the battery condition accurately – which leads to suboptimal battery usage and maintenance. Alternative solution in terms of battery management system – that can measure condition of the battery accurately – is deemed necessary. This research designed and implemented a new microcontroller-based battery management system for one of the Indonesian electric bike products. Lithium-ion battery – which have higher energy density and efficiency than a VRLA battery – is used. The battery is modeled by dual polarization method (DP), which then used to obtain the open circuit voltage value. This value is estimated with recursive least square method. Another measured parameters of the battery is the state of charge (SOC) and temperature. Monitoring is done with microcontroller which integrated with user interface system based on Android, using Firebase as the data storage. The result showed that the litium-ion battery perform the stable capacity on 12.51 Ah. Consequently, the battery management system was able to afford Root Mean Square Error (RMSE) value of SOC as maximum as 2.47 %.
format Final Project
author Astar Al Kaadzimi, Malik
spellingShingle Astar Al Kaadzimi, Malik
IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
author_facet Astar Al Kaadzimi, Malik
author_sort Astar Al Kaadzimi, Malik
title IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
title_short IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
title_full IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
title_fullStr IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
title_full_unstemmed IMPLEMENTATION OF INTEGRATED LITHIUM BATTERY MANAGEMENT SYSTEM ON ELECTRIC BIKE
title_sort implementation of integrated lithium battery management system on electric bike
url https://digilib.itb.ac.id/gdl/view/36413
_version_ 1822268687818686464