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All Journal Mechatronics, Electrical Power, and Vehicular Technology Journal of Engineering and Technological Sciences
Edi Leksono
Laboratorium Manajemen Energi, Teknik Fisika – Institut Teknologi Bandung, Gedung TP Rahmat lt.3, Jl. Ganesha No. 10 Bandung, Jawa Barat 40132
Electrical & Electronics Engineering Engineering

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Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes Haq, Irsyad Nashirul; Kurniadi, Deddy; Leksono, Edi; Yuliarto, Brian; Soelami, F.X. Nugroho
Journal of Engineering and Technological Sciences Vol 51, No 2 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.722 KB) | DOI: 10.5614/j.eng.technol.sci.2019.51.2.1

Abstract

In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system’s total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.
Pengembangan Sistem Kontrol Traksi Mobil Elektrik Berbasis Rekonstruksi Keadaan Kecepatan Model Roda Pratikto, Pratikto; Nazaruddin, Yul Yunazid; Leksono, Edi; Abidin, Zainal
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 1, No 2 (2010)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.195 KB)

Abstract

In  this  paper  the  development  of  electric  vehicle  traction  control  based  on  state  of  speed  reconstruction  of vehicle model that has the same acceleration condition between tire and chassis is studied. Vehicle is accelerated if the friction force takes place between tire and road. However, the traction force decreases even tends to zero on slippery road and torque input produces a large slip. Evidently, tire slip can be reduced by decreasing the applied torque to the tire. So the basic principle of the proposed method here compares the real vehicle tire speed condition with the model to determine the torque in order to reduce the slip. Tire speed is controlled in order to follow the reference value that is calculated from the model. Tire torque input then can be controlled by applying the feedback that is obtained from the difference value of speed between model and real tire. Implementation of this method on a real vehicle shows that the control method effectively controls the tire speed of vehicle to follow the reference and reducing the slip. From the experiment the control  system performance in reducing slip has the result  of 9.8% for maximum overshoot, 3.1 second for rise time, and 8 second for settling time. 
Modelling and Identification of Oxygen Excess Ratio of Self-Humidified PEM Fuel Cell System Leksono, Edi; Pradipta, Justin; Tamba, Tua Agustinus
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 3, No 1 (2012)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.679 KB) | DOI: 10.14203/j.mev.2012.v3.39-48

Abstract

One essential parameter in fuel cell operation is oxygen excess ratio which describes comparison between reacted and supplied oxygen number in cathode. Oxygen excess ratio relates to fuel cell safety and lifetime. This paper explains development of air feed model and oxygen excess ratio calculation in commercial self-humidified PEM fuel cell system with 1 kW output power. This modelling was developed from measured data which was limited in open loop system. It was carried out to get relationship between oxygen excess ratio with stack output current and fan motor voltage. It generated fourth-order 56.26% best fit ARX linear polynomial model estimation (loss function = 0.0159, FPE = 0.0159) and second-order ARX nonlinear model estimation with 75 units of wavenet estimator with 84.95% best fit (loss function = 0.0139). The second-order ARX model linearization yielded 78.18% best fit (loss function = 0.0009, FPE = 0.0009).
Co-Authors Brian Yuliarto Deddy Kurniadi, Deddy Haq, Irsyad Nashirul Justin Pradipta Pratikto Pratikto Soelami, F.X. Nugroho Tua Agustinus Tamba Yul Yunazid Nazaruddin Zainal Abidin