Numerous studies have attempted to predict the energy output of solar-powered vehicles based on different parameters such as road conditions, driver characteristics, and weather. However, since these studies were conducted on stationary vehicles, they are limited in their accuracy when applied to driving vehicles. This study aimed to improve the accuracy of electric power prediction for a solar-powered bus by applying a technique that improves energy efficiency without affecting driving performance. A comparative analysis of power generation and solar irradiance data was conducted for the bus driven on different roads to forecast its power generation, and a high-accuracy power generation prediction equation was derived. A comparison with actual test results revealed that a power generation forecast accuracy of at least 90% was achieved, validating the equation used for forecasting. With this power generation prediction process, it is possible to forecast the amount of energy generated in advance when a solar bus is operated in a specific area.
목차
ABSTRACT 1. 서론 2. 시험방법 2.1 태양광버스 사양 2.2 실증 지역 선정 및 주행시험 방법 3. 결과 및 고찰 3.1 태양광 버스 발전량 측정 시험 결과 3.2 태양광 버스 발전량 예측 결과 4. 결론 후기 References
키워드
태양광 일체형 모듈도로주행시험발전량 예측발전량 분석일사량Integrated solar moduleRoad testForecasting power generationPower generation analysisSolar irradiance
저자
최찬웅 [ Chan-Woong Choi | Future Technology Research Division, Jeonbuk Institute of Automotive Convergence Technology ]
장병춘 [ Byoung-Chun Chang | Future Technology Research Division, Jeonbuk Institute of Automotive Convergence Technology, Department of Mechanical Engineering, Kunsan National University ]
곽민주 [ Min-Ju Kwak | Future Technology Research Division, Jeonbuk Institute of Automotive Convergence Technology, Department of Mechanical Engineering, Kunsan National University ]
진지원 [ Ji-Won Jin | Korea Testing Laboratory, System Verification and Validation Center ]
Corresponding Author