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Estimation of state of charge of lithium-ion battery based on photovoltaic generation energy storage system
摘要： The fast and accurate estimation of state of charge (SOC) of lithium-ion battery is one of the key technologies of battery management system. In view of this nonlinear dynamic system of lithium battery, through the test and analysis of lithium-ion battery hysteresis characteristics, the second-order RC hysteresis model is established, and the cubature Kalman filter algorithm is used to estimate the battery state of charge in this report. The experiment results show that the battery model can essentially predict the dynamic hysteresis voltage behavior of the lithium-ion battery and cubature Kalman Filtering algorithm can maintain high accuracy in the estimation process.
关键词： cubature Kalman filter,Lithium-ion battery,state of charge,hysteresis model
更新于2025-09-09 09:28:46
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[IEEE 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) - Munich, Germany (2018.8.20-2018.8.24)] 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) - CKF-based Fast Error Compensation Filter Design for IR-UWB Indoor Positioning System for Building Automation
摘要： Recently, impulse radio-ultra wideband is widely used for highly accurate location estimation of robots and objects in indoor space for building automation. For their accurate positioning, calibration must be performed after the positioning system is installed, and a compensation technique of the multipath signals should be performed in real-time. In this paper, a real-time calibration and error compensation method is proposed. A filter that estimates channel common error and channel-specific error sequentially is designed based on cubature Kalman filter and the fast and accurate estimation performance of this filter is verified experimentally.
关键词： indoor positioning,impulse radio-ultra wideband,calibration,cubature Kalman filter,error compensation
更新于2025-09-04 15:30:14