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Journal : International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)

Effect of Inverter Frequency on Electric Motor-Driven Air Conditioning Systems Repurposed from Combustion Engine Cars for Electric Vehicle Applications Kenny, Jonathan; Yusivar, Feri
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 4 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i4.93

Abstract

This research introduces a framework for the adaptation of conventional automotive air conditioning systems in electric vehicle conversions by modifying them to operate with an electric motor driven by an inverter, aimed at reducing waste and promoting energy efficiency. The experiment was conducted on an AC system from a combustion engine car, tested independently to evaluate the effects of varying inverter frequencies on cooling performance and power consumption. Data were collected using multiple blower fan speeds, with additional alternator integration tested to maintain system efficiency. The results highlight optimal settings for minimizing energy consumption while achieving effective cooling, providing valuable insights for sustainable EV conversions.
Fault Detection for Low Voltage System in Electric Vehicle Muhammad Anwar Sadat Faidar; Kamlasi, Dava; Yusivar, Feri
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v1i1.4

Abstract

With the rapid development of the electric vehicle ecosystem, there are concerns about the electrical safety of electric vehicles. This concern is caused by the problems with electric vehicles, which cannot be used when not used for a long time. This problem is caused by a low voltage rating that is not available when the electric vehicle is in that condition. In this study, an algorithm is proposed to support safety for the availability of low-voltage electrical energy, when electric vehicles are in use or not in use. The results of this research indicate that the created algorithm can provide safety for the availability of low voltage level electrical energy, by adjusting the lead-acid battery charging procedure, monitoring the low voltage level while it not in use, and making existing electric vehicles unable to move as long as problems with the low voltage level charging system cannot be resolved.