Second-order battery equivalent circuit model parameter identification method, device, and medium
By combining the improved Osprey Optimization Algorithm (IOOA) with dynamic coefficient control, high-precision and high-reliability identification of second-order battery equivalent circuit model parameters was achieved, solving the problems of low computational efficiency and premature convergence in the existing technology and improving the accuracy of model parameters.
CN122260135APending Publication Date: 2026-06-23CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
- Filing Date
- 2026-04-21
- Publication Date
- 2026-06-23
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Figure CN122260135A_ABST
Abstract
This application provides a method, device, and medium for identifying parameters of a second-order battery equivalent circuit model. The method includes: randomly initializing the positions of an osprey population within a defined parameter feasible solution space to obtain the initial position of each osprey. Each osprey's position represents a set of candidate parameter feasible solutions, with parameters including the ohmic internal resistance, two polarization resistors, and two polarization capacitors in the second-order battery equivalent circuit model; executing an iterative loop of the osprey optimization algorithm based on the initial position of each osprey to obtain the optimal position; and determining the parameter feasible solution corresponding to the optimal position as the optimal solution for the parameters of the second-order battery equivalent circuit model. During the iterative loop of the osprey optimization algorithm, the update of the osprey positions is controlled by dynamic coefficients, which change non-linearly with the number of iterations. This improves the identification accuracy and reliability of the second-order battery equivalent circuit model parameters.
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