Earticle

초록

영어

Maintaining stable operation of battery swapping stations under time-varying demand is an important issue in Advanced Air Mobility (AAM) operations. This study proposes a predictive control decision model that uses short-term demand information to proactively adjust swapping channels, charging resources, and available battery levels. Three operational strategies were compared: Fixed rule (S1), State response (S2), and Predictive control (S3). The system was modeled as a multi-resource service system with time-dependent aircraft arrivals, and each strategy was evaluated through 100 simulation replications under identical demand and facility conditions. The results showed that S3 reduced the average waiting time to 1.04 min, the waiting probability to 27.31%, and the battery shortage rate to 12.38%, corresponding to reductions of 98.32%, 64.39%, and 73.37%, respectively, compared with S1. In addition, S3 maintained fewer average active swapping channels and chargers than S2 while performing more frequent resource adjustments. These results demonstrate that short-term demand information can support proactive resource allocation and improve service performance and battery supply stability without simply increasing resource deployment.

목차

Abstract
1. 서론
2. 시스템 구성 및 자율 운영 모델
2.1 배터리 교환 스테이션의 시스템 구성
2.2 배터리 상태 변화 및 운영 제약
2.3 단기 수요 예측 정보 기반 자율 운영 구조
3. 시뮬레이션 설계 및 분석 방법
3.1 수요 및 기본 운영 조건
3.2 비교 운영 전략 및 자원 조정 규칙
3.3 반복 시뮬레이션 및 분석 방법
4. 분석 결과 및 고찰
4.1 운영 전략별 주요 성능 비교
4.2 운영 안정성 분석
4.3 운영 자원 조정 특성 분석
5. 결론
5.1. 고정 운영 방식의 성능 한계
5.2. 자원 조정에 따른 성능 개선
5.3. 예측 기반 자율 운영의 자원 조정 특성
5.4. 모델의 적용 범위 및 확장성
후기
References

키워드

저자

• 이우람 [ Wooram Lee | Member, Division of Unmanned Aerial Vehicles, Kyungwoon University, Professor ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국기계항공기술학회지(구 한국기계기술학회지) [Journal of the Korean Society of Mechanical and Aviation Technology ]

• 간기

  격월간

• pISSN

  1229-604X

• eISSN

  2508-3805

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 550 DDC 620