인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This paper proposes a load-variation-rate-based adaptive time-constant energy management strategy for a hybrid energy storage system in electric excavators. Electric excavators experience rapid power variations and regenerative energy during digging and swing operations; therefore, an effective power distribution strategy is required to reduce battery stress. The proposed method adjusts the filter time constant according to the load variation rate. During rapid load changes, the time constant is increased to suppress abrupt variations in the battery power reference, allowing the supercapacitor to handle transient and high-frequency power components. An electric excavator load profile was generated using an AMESim-based model and extended to an 8-hour operating condition. Simulation results reveal that the proposed method maintains a final battery SOC at 0.261, compared with 0.219 for the fixed-time-constant method. The battery DOD is also reduced from 0.630 to 0.588, while the estimated battery cycle life is improved by approximately 10.12%. Overall, these results indicate that the proposed energy management strategy reduces battery discharge burden and improves the operational performance of hybrid energy storage systems for electric excavators.
본문·목차
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.