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All Journal Widya Teknik Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Share : Journal of Service Learning J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Buletin Profesi Insinyur Peka: Jurnal Pengabdian Kepada Masyarakat SWARNA Jurnal Teknik Informatika dan Teknologi Informasi Aceh International Journal of Science and Technology SENAPAS SWARNA: Jurnal Pengabdian Kepada Masyarakat
Andrew Joewono
Universitas Katolik Widya Mandala Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analisis Teknologi Manajemen Energi Pada Kendaraan Listrik Hibrida Berbasis Tinjauan Pustaka Theophilus Ezra Nugroho Pandin; Bryan Hulio Santoso; Rasional Sitepu; Andrew Joewono
Widya Teknik Vol 21, No 2 (2022): November
Publisher : Widya Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.631 KB) | DOI: 10.33508/wt.v21i2.4531

Abstract

The application of hybrid electric vehicle technology has grown rapidly in recent years. This article aims to describe and discuss energy management strategies in hybrid electric vehicles. The research method is qualitative with a systematic literature review based on database searches on IEEE, Garuda SINTA, ArXiv, Preprints. The results obtained 13 articles from the IEEE database by describing the results of the energy management strategy of each article. The conclusion is that the technology used for energy management strategies includes algorithm settings, namely reinforcement learning and Q-learning combined with several control systems, namely predictive control models, Equivalent Consumption Minimization Strategy, and Dynamic Programming.
Co-Authors Adriana Anteng Adriana Anteng Anggorowati Akbar Zulkarnain Albert Gunadhi Andrew F. Miyata Bryan Hulio Santoso Dhani Iwang Kusuma Diana L. Antonia Ditya Nurma Paulina Dyna Rachmawati Indah Kuswardani Joewono Prasetijo Kristina Pae L Suratno Lanny Agustine Lanny Agustine Lestariningsih, Diana Lorensius Anang Setiyo Waloyo N. Agus Sunarjanto Nekhasius Agus Sunarjanto Peter R Angka Peter R. Angka Peter Rathodirjo Angka Pranjoto, Hartono Santi Triwijaya Sitepu, Rasional Sunardi Suratno Suratno Tarsisius Dwi Wibawa B Tarsisius Dwi Wibawa Budianta Teguh Arifianto Theophilus Ezra Nugroho Pandin Vincendy Constantinus Widya A. Weliamto Yuliati Yuliati