| 제목 |
OPTIMAL ENERGY DISTRIBUTION OF MULTI-ENERGY SOURCES IN FUEL-CELL ELECTRIC BUS USING LONG SHORT-TERM MEMORY
|
| 분야 |
Electric, Fuel Cell, and Hybrid Vehicle |
| 언어 |
English |
| 저자 |
Giyeon Hwang(Myongji University), Seunghyup Shin(Sejong University), Sangyul Lee(Hansung University), Minjae Kim (Hansung University) |
| Key Words |
Fuel-cell electric bus, Ultra-capacitor, Dynamic programming, Long short-term memory, Energy management strategy, Hybrid energy storage system |
| 초록 |
overcome these problems, the automobile industry is prioritizing the development of eco-friendly vehicles that reduce greenhouse gas emissions. Among these, fuel-cell electric vehicles (FCEVs) use hydrogen as a fuel and do not emit exhaust gas and their higher mileage and shorter fuel charging time compared to electric vehicles make them promising next-generation eco-friendly vehicles. However, conventional energy management strategies have not effectively implemented both real-time capability and optimal energy distribution in FCEVs. To address these issues, a powertrain utilizing multi-energy sources is utilized, and a real-time energy control strategy based on long short-term memory (LSTM) is proposed. The training data for LSTM is obtained from the results of dynamic programming, utilizing six-city bus driving cycles, and the Braunschweig city driving cycle is chosen for test simulation. As a result, the LSTM prediction performance is evaluated, resulting in the development of an effective algorithm for real-time energy management of multi-energy sourced FCEVs.
|
| 미리보기 |
다운로드
|
| 원문(PDF) |
다운로드
|
