Method and system for joint estimation of lithium-ion battery model parameters and SOC with noise immunity
A technology for lithium-ion batteries and model parameters, which is applied in the measurement of electricity, measurement of electrical variables, and complex mathematical operations. It can solve problems such as low SOC estimation accuracy and noise, and achieve high SOC estimation accuracy, broad application prospects, and easy implementation. Effect
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Embodiment 1
[0032] Such as figure 2 As shown, the present embodiment provides a joint estimation method of lithium-ion battery model parameters and SOC with noise resistance, including:
[0033] S101: Perform a pulse charge and discharge test on the lithium-ion battery, obtain the open circuit voltage OCV at different SOCs, and determine the OCV-SOC mapping relationship; specifically, it can be expressed as
[0034]
[0035] In the formula, S k Indicates the SOC of the battery at time k, U oc,k Indicates the open circuit voltage of the battery at time k, d i denote the coefficients of the m-order polynomial obtained by fitting the OCV-SOC relationship offline, .
[0036] S102: Initialize the RC parameters of the lithium-ion battery model and the SOC of the battery.
[0037] S103: Determine the OCV according to the OCV-SOC mapping relationship and SOC, and then use the recursively limited total least squares method to solve the lithium-ion battery equivalent circuit according to th...
Embodiment 2
[0089] The present embodiment provides a joint estimation system with noise resistance lithium-ion battery model parameters and SOC, including:
[0090] (1) OCV-SOC mapping module, which is used to perform pulse charge and discharge tests on lithium-ion batteries, obtain the open circuit voltage OCV at different SOCs, and determine the OCV-SOC mapping relationship;
[0091] (2) an initialization module, which is used to initialize the RC parameters of the lithium-ion battery model and the SOC of the battery;
[0092] (3) RC parameter identification module, which is used to determine the OCV according to the OCV-SOC mapping relationship and SOC, and then according to the statistical characteristics of the real-time measured battery current and voltage signals and the noise contained in them, use the recursively limited overall least squares The multiplication method solves the discrete domain regression equation of the lithium-ion battery equivalent circuit model, and identifie...
Embodiment 3
[0136] This embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the joint estimation method of lithium-ion battery model parameters and SOC with noise resistance as described above are realized .
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