SOC and SOH joint estimation method
A technology of joint estimation and preset time, applied in the direction of instruments, measuring devices, measuring electricity, etc., can solve the problems of battery accuracy degradation, failure to fully consider the SOC and SOH coupling relationship and temperature effects, etc., to reduce performance requirements and improve computing. The effect of efficiency
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Embodiment 1
[0032] A joint SOC and SOH estimation method 100, such as figure 1 shown, including:
[0033] Step 110. Obtain a training sample set by performing a cycle charge and discharge experiment on the lithium battery, wherein each training sample in the training sample set includes SOC;
[0034] Step 120, based on the training sample set, train the SOH estimation neural network;
[0035] Step 130: Based on the current SOH, estimate the SOC every first preset time, and when the total time reaches the second preset time, use the neural network to estimate the SOH based on the current SOH, and realize joint estimation of SOC and SOH.
[0036] It should be noted that the trained SOH estimation neural network includes: an input layer, an output layer, and a hidden layer. There are many nodes in the hidden layer, and each node has a certain weight. The training is to determine the weight of the hidden layer nodes of the neural network. The weight of the trained model is fixed. When the m...
Embodiment 2
[0063] A storage medium, wherein instructions are stored in the storage medium, and when a computer reads the instructions, the computer is made to execute any method for joint estimation of SOC and SOH as described in Embodiment 1 above.
[0064] The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.
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