Capacity Estimation Models of Primary Lithium Batteries during Whole Life Cycle of Underwater Vehicles
Open Access
- 9 May 2022
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 12 (9) , 4761
Abstract
Storage and discharge conditions of primary lithium batteries are studied and the capacity estimation models during the whole life cycle of underwater vehicles is developed based on temperature. The storage experiments for 90 days at different temperatures and discharge experiments at different temperatures and current rates are conducted. At low temperatures, experimental results reveal that there is no significant capacity decay during storage. At high temperatures, the charge storage capacity attenuates with the increase of storage, and the attenuation rate is directly related to the temperature. In discharge experiments, maximum available capacity increases with temperature during 0 °C to 25 °C, whereas the given phenomenon is not significant at other temperatures. Moreover, the current rate is less important for the maximum available capacity. To establish capacity estimation models during the storage stage and working stage of underwater vehicles, we have developed a capacity decay model and a temperature calibration model. Moreover, the model accuracy is evaluated, and the errors in capacity decay model and temperature calibration model are less than 2% and 0.7%, respectively. Capacity estimation models provided in this research are not only accurate, but also relatively simple, which have high value for underwater vehicles in engineering applications.Keywords
Funding Information
- National Natural Science Foundation of China (21905231, CX2022067)
- Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University (21905231, CX2022067)
- Fundamental Research Funds for the Central Universities (21905231, CX2022067)
This publication has 22 references indexed in Scilit:
- WITHDRAWN: Adaptive sliding mode observers for battery state estimation based on parameters identified onlineApplied Energy, 2016
- A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimationJournal of Power Sources, 2014
- Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management SystemThe Scientific World Journal, 2014
- State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperaturesApplied Energy, 2014
- Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehiclesEnergy, 2012
- A comparative study of equivalent circuit models for Li-ion batteriesJournal of Power Sources, 2012
- Cycle-life model for graphite-LiFePO4 cellsJournal of Power Sources, 2011
- Model-Based Electrochemical Estimation and Constraint Management for Pulse Operation of Lithium Ion BatteriesIEEE Transactions on Control Systems Technology, 2009
- Deterioration estimation of lithium-ion cells in direct current power supply systems and characteristics of 400-Ah lithium-ion cellsJournal of Power Sources, 2009
- Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsJournal of Power Sources, 2004