@inproceedings{ac8fa3d50d0d4ff8b482d611e8f6b340,
title = "Integrated Optimization of Battery Sizing and Control Parameter for a Hybrid Amphibious Vehicle",
abstract = "This paper describes the application of a NSGA-?-based integrated optimization of battery sizing and control parameter for a hybrid amphibious vehicle. Firstly, the amphibious vehicle model is built for verification. Secondly, main power system parameters are selected through theoretical analysis and filter-based energy management strategy is introduced. Then NSGA-? is applied to optimize the number of battery cells and cutoff frequency, which is the key parameter of energy management strategy. The simulation results show that the NSGA-?-based integrated optimization exhibits better performance in terms of battery SOH and fuel economy than traditional matching method.",
keywords = "NSGA-?, hybrid amphibious vehicle, integrated optimization, matching",
author = "Xu Wang and Ying Huang and Jian Wang and Chengliang Luo",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023 ; Conference date: 27-10-2023 Through 29-10-2023",
year = "2023",
doi = "10.1109/CVCI59596.2023.10397268",
language = "English",
series = "Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023",
address = "United States",
}