TY - GEN
T1 - Multi-objective Oriented Dynamic Matching Optimization of Hybrid Power System Parameters
AU - Jia, Tianhao
AU - Ma, Yue
AU - Zhang, Chongbing
AU - Zhang, Feixiang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - Aiming at the problem of difficulty in matching the core components of the hybrid power system of amphibious land and air vehicles, this paper proposed a power system matching optimization strategy. Firstly, the components of the hybrid power system, including the engine, the generator, and the power battery pack, were modeled. Secondly, a multi-objective optimization problem was constructed by taking the power performance, fuel economy, and battery health status as the optimization objectives, and taking the number of battery packs and the power of the engine-generator set as the optimization variables. Lastly, a non-dominated sorting genetic algorithm integrating Lévy flight and sine cosine algorithm (LF-SCA-GA) was proposed. The simulation results demonstrate that after power matching, the power performance, fuel economy, and battery health status are enhanced compared with the initial design of the power system.
AB - Aiming at the problem of difficulty in matching the core components of the hybrid power system of amphibious land and air vehicles, this paper proposed a power system matching optimization strategy. Firstly, the components of the hybrid power system, including the engine, the generator, and the power battery pack, were modeled. Secondly, a multi-objective optimization problem was constructed by taking the power performance, fuel economy, and battery health status as the optimization objectives, and taking the number of battery packs and the power of the engine-generator set as the optimization variables. Lastly, a non-dominated sorting genetic algorithm integrating Lévy flight and sine cosine algorithm (LF-SCA-GA) was proposed. The simulation results demonstrate that after power matching, the power performance, fuel economy, and battery health status are enhanced compared with the initial design of the power system.
KW - Amphibious land-air vehicle
KW - Dynamic matching
KW - Hybrid power system
KW - Multi-objective optimization
UR - https://www.scopus.com/pages/publications/105040379677
U2 - 10.1007/978-981-95-3316-9_38
DO - 10.1007/978-981-95-3316-9_38
M3 - Conference contribution
AN - SCOPUS:105040379677
SN - 9789819533152
T3 - Lecture Notes in Electrical Engineering
SP - 393
EP - 404
BT - Proceedings of the 17th International Conference on Modelling, Identification and Control, ICMIC 2025 - Volume 2
A2 - Su, Tingli
A2 - Sheng, Ning
A2 - Chen, Qiang
A2 - Zhang, Weicun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Modelling, Identification and Control, ICMIC 2025
Y2 - 13 June 2025 through 15 June 2025
ER -