TY - GEN
T1 - Real-Time Battery Monitoring and Fault Identification Application on Electric Scooter
AU - Asfani, Dimas Anton
AU - Yulistya Negara, I. Made
AU - Ngurah Satriyadi Hernanda, I. Gusti
AU - Fahmi, Daniar
AU - Yuniarto, Muhammad Nur
AU - Hardiyanto, Rizal
AU - Premananda, Raditya
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Peoples have shifted from fossil fuel-powered vehicles to electric vehicles these days. It is environmentally friendly and also saves more energy. Electric scooter has two main components which are BLDC motor as a prime mover and battery as energy storage. Therefore, design of monitoring and diagnosing instruments are needed to maintain battery performance. Design of the instrument necessarily arranged to optimize the battery usage, monitor and identify an interruption or damage on battery used in electric scooter. Parameters used in design are voltage, current, temperature, and battery capacity. Furthermore, in optimizing the battery usage, all of the parameters are processed by a Controller Area Network (CAN) protocol. The parameters will be displayed on android smartphone to provide the scooter performance and give an alert if the interruption or damage is occurred such as over temperature and unbalanced cell. Based on the experiment results, it is shown that maximum error for current testing is 2.17% and for voltage testing is 0.09%. Maximum unbalance cell testing value reaches 12 % with an average value over 1 minute is 8.4% while safe limit of unbalance cell is 10%.
AB - Peoples have shifted from fossil fuel-powered vehicles to electric vehicles these days. It is environmentally friendly and also saves more energy. Electric scooter has two main components which are BLDC motor as a prime mover and battery as energy storage. Therefore, design of monitoring and diagnosing instruments are needed to maintain battery performance. Design of the instrument necessarily arranged to optimize the battery usage, monitor and identify an interruption or damage on battery used in electric scooter. Parameters used in design are voltage, current, temperature, and battery capacity. Furthermore, in optimizing the battery usage, all of the parameters are processed by a Controller Area Network (CAN) protocol. The parameters will be displayed on android smartphone to provide the scooter performance and give an alert if the interruption or damage is occurred such as over temperature and unbalanced cell. Based on the experiment results, it is shown that maximum error for current testing is 2.17% and for voltage testing is 0.09%. Maximum unbalance cell testing value reaches 12 % with an average value over 1 minute is 8.4% while safe limit of unbalance cell is 10%.
KW - Battery
KW - Electric scooter
KW - Identification
KW - Monitoring
UR - http://www.scopus.com/inward/record.url?scp=85074957902&partnerID=8YFLogxK
U2 - 10.1109/ISEMANTIC.2019.8884324
DO - 10.1109/ISEMANTIC.2019.8884324
M3 - Conference contribution
AN - SCOPUS:85074957902
T3 - Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019
SP - 471
EP - 475
BT - Proceedings - 2019 International Seminar on Application for Technology of Information and Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019
Y2 - 21 September 2019 through 22 September 2019
ER -