A substation battery multifunction control system and a control method thereof
A technology of a control system and a control method, applied in the direction of charge equalization circuit, battery circuit device, arrangement of multiple synchronous batteries, etc., to achieve the effects of high energy utilization rate, improved efficiency and accuracy, and simplified method
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 2
[0063] Embodiment 2, the rated capacity of the battery pack in this embodiment is 80Ah. First, the battery pack is charged and discharged three times without opening the equalization module, and the capacity of the whole battery pack is about 80.5Ah. Then, charge and discharge cycles are carried out on some of the batteries, so that the whole set of batteries is in an unbalanced state. After the treatment, the charge and discharge test of the battery pack is performed, and the measured capacity is about 59.2Ah.
[0064] This embodiment is to carry out two-way active equalization control on the multifunctional control system of the storage battery used in the substation in Embodiment 1, and its control method is:
[0065] The mathematical model of the state analysis of the battery pack embedded in the CPU makes statistics and analyzes on the real-time changes in the battery pack voltage, internal resistance, and the dispersion of voltage and internal resistance, and then judges...
Embodiment 3
[0067] Embodiment 3, this embodiment is to estimate the SOC of the battery pack in the multifunctional control system for the battery used in the substation of Embodiment 1, and the method is as follows:
[0068] ① Establish battery pack SOC estimation model
[0069] Through the analysis, it can be known that the SOC of the battery pack is the result of multiple factors, usually including temperature, charge and discharge rate, battery SOH (health state), voltage, internal resistance, etc.; therefore, the difficulty in obtaining the SOC accurately lies in the relationship between SOC and various factors. The existence of a complex mapping relationship between them; the reason for the poor accuracy of traditional battery SOC estimation is that its method only looks for the mapping relationship for one of the factors, and does not consider the impact of other factors on battery SOC estimation, so the consideration is not systematic; therefore , it is necessary to consider the jo...
Embodiment 4
[0083] Embodiment 4, this embodiment is basically the same as Embodiment 3, except that: the step ③ of estimating the SOC of the storage battery pack uses the RBF neural network to estimate the SOC of the storage battery pack online.
[0084] The RBF neural network and the BP neural network are the same three-layer forward network: the first layer is the input layer, and the number of nodes is equal to the dimension of the input; the middle is the hidden layer, and the number of nodes depends on the specific problem; the last is the output layer. layer, the number of nodes is the dimension of the output data; the hidden layer of RBF neural network is nonlinear, and radial basis function is usually used as the basis function, so as to transform the input vector space into the hidden layer space, so that the original linear inseparable problem becomes It is linearly separable, and the output layer is linear; the basic idea of the RBF neural network is: use the RBF function as t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com