skip to main content

OPTIMALISASI MANAJEMEN ENERGI DAN PENJADWALAN KENDARAAN UNTUK BUS LISTRIK DAN PLUG-IN HYBRID ELECTRIC BUS (PHEB) DALAM TRANSPORTASI PERKOTAAN

*Muhamad Zaky Abqary  -  Department of Mechanical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Gunawan Dwi Haryadi  -  Department of Mechanical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Yusuf Umardani  -  Department of Mechanical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia

Citation Format:
Abstract

Penelitian ini membahas strategi optimalisasi sistem transportasi publik berbasis bus listrik (Battery Electric Buses/BEB) dan plug-in hybrid electric buses (PHEB), dengan fokus pada manajemen energi, penjadwalan kendaraan, serta integrasi teknologi Vehicle-to-Grid (V2G). Melalui kajian terhadap sepuluh publikasi ilmiah terkini, penelitian ini mengevaluasi efektivitas strategi ANN-PMP dalam mengelola ketidakpastian massa kendaraan, penggunaan pendekatan optimisasi integer dan metaheuristik untuk penjadwalan simultan armada dan pengisian daya, serta potensi penerapan V2G sebagai solusi efisiensi dan pendapatan tambahan. Hasil analisis menunjukkan bahwa integrasi pendekatan data-driven dan optimisasi dapat meningkatkan efisiensi bahan bakar hingga 46,93%, mengurangi jumlah armada yang dibutuhkan, serta memperkuat peran sistem transportasi dalam mendukung stabilitas jaringan listrik. Temuan ini menegaskan pentingnya penerapan pendekatan terpadu dalam transisi menuju transportasi perkotaan yang lebih berkelanjutan.

Fulltext View|Download
Keywords: bus listrik; optimisasi sistem transportasi; pengisian daya; plug-in hybrid electric bus (pheb); vehicle-to-grid (v2g)
  1. Czogalla, O., & Jumar, U. (2019). Design and control of electric bus vehicle model for estimation of energy consumption. IFAC-PapersOnLine, 52(24), 59–64. https://doi.org/10.1016/j.ifacol.2019.12.593
  2. Gao, W., et al. (2025). Integrated optimization of timetabling and vehicle scheduling for pure electric buses. Computers & Industrial Engineering, 201, 110833. https://doi.org/10.1016/j.cie.2024.110833
  3. Guo, H. et al. (2020). A driving pattern recognition-based energy management for plug-in hybrid electric bus. Energy, 198, 117289. https://doi.org/10.1016/j.energy.2020.117289
  4. Lu, Z. et al. (2025). Optimization of electric bus vehicle scheduling and charging strategies under TOU electricity price. Transportation Research Part E, 196, 104021. https://doi.org/10.1016/j.tre.2025.104021
  5. Ma, Z., et al. (2024). A data-driven energy management strategy for plug-in hybrid electric buses considering vehicle mass uncertainty. Journal of Energy Storage, 77, 109963. https://doi.org/10.1016/j.est.2023.109963
  6. Quttineh, N.H., et al. (2023). Integrated solution for electric bus timetabling and vehicle scheduling. Journal of Public Transportation, 25, 100055. https://doi.org/10.1016/j.jpubtr.2023.100055
  7. Son, J., et al. (2025). Urban transit optimization: Efficient electric bus operations and vehicle-to-grid integration. Computers & Industrial Engineering, 205, 111169. https://doi.org/10.1016/j.cie.2025.111169
  8. Stumpe, M., et al. (2021). Study on sensitivity of electric bus systems under simultaneous optimization. EURO Journal on Transportation and Logistics, 10, 100049. https://doi.org/10.1016/j.ejtl.2021.100049
  9. Wang, Y., et al. (2024). Optimal battery electric bus system planning considering heterogeneous vehicles. Renewable Energy, 237, 121596. https://doi.org/10.1016/j.renene.2024.121596
  10. Zafar, K. et al. (2024). Fault analysis for DC Bus-integrated energy storage system, EV supply equipment, and PV systems. Electric Power Systems Research, 234, 110837. https://doi.org/10.1016/j.epsr.2024.110837

Last update:

No citation recorded.

Last update:

No citation recorded.