SOC and SOT combined state estimation method based on power battery electric-thermal coupling model

Abstract

The invention relates to an SOC and SOT combined state estimation method based on a power battery electric-thermal coupling model, and belongs to the technical field of battery management. The methodcomprises the steps of selecting a to-be-measured power battery, building the electric-thermal model of the power battery, and determining parameters needed for estimating the SOC and the SOT of the power battery; under different temperatures, conducting trickling charging-discharging experiments and HPPC experiments on the measured power battery, building a database of equivalent circuit model parameters relevant to the temperature and the SOC under a charging and discharging condition, and simulating field test working conditions under different road conditions to build the database; conducting parameter identification to obtain characteristic parameters of the electric-thermal model, and obtaining the quantitative relation between the equivalent circuit model parameters and the temperature and the SOC under the charging and discharging condition. By means of the SOC and SOT combined state estimation method based on the power battery electric-thermal coupling model, the model is combined with a PF algorithm and the quantitative relation of the equivalent circuit model parameters relevant to the temperature and the SOC under the charging and discharging condition of the power battery to achieve the SOC and SOT combined state estimation of the power battery.

Description

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AI Technical Summary

Benefits of technology

This technology improves how well an electronic control unit (ECU) estimates its own internal resistance or capacitance from data collected during operation. It uses this estimated values instead of directly measuring these physical quantities like pressure inside the batteries' cells. By adjusting certain factors such as cell size and type, the ECUs can achieve better performance at different temperatures than before they were initially set up. Additionally, if there was any issues with the battery being charged after use, the system could automatically detect them and take appropriate action accordingly. Overall, this innovation helps improve the efficiency and reliability of energy storage systems while reducing their costs compared to traditional methods.

Problems solved by technology

Technological Problem addressed in this patents relates to improving the precision and efficient determination of both the SOX and SOQ levels of Lithium ion batteries during operation within their own vehicle's electrical system. Current methods require expensive equipment that may only provide limited results due to limitations like heating rates and internal resistance changes over time. Therefore, new techniques aim at developing more precise and reliable ways to measure these parameters without requiring costly installation of multiple devices.

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