Multi-feature parameter battery equivalent grouping method
A technology of characteristic parameters and grouping method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of battery grouping that is not suitable for multiple characteristic parameters, and achieve the effect of fast multi-characteristic parameter grouping
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach 1
[0045] Specific implementation mode 1. Combination figure 1 Describe this embodiment, the battery equal grouping method with multiple characteristic parameters described in this embodiment, the specific steps of this method are:
[0046] Step 1. Extract characteristic parameters of n batteries to be grouped; n is a positive integer;
[0047] Each battery of the n batteries to be grouped is subjected to a battery test, and the characteristic parameters of each battery to characterize the battery characteristics are obtained, and the characteristic parameters of the battery characteristics include battery capacity, ohmic internal resistance of the battery and polarization internal resistance parameters of the battery; wherein, The number of batteries to be grouped n is greater than N 0 , N 0 = Number of groups K × number of battery cells in the group M; both K and M are positive integers;
[0048] Step 2. Using the Leite criterion in the gross error processing theory to make ...
specific Embodiment approach 2
[0077] Specific embodiment 2. This embodiment is a further description of the method for grouping batteries with multiple characteristic parameters according to specific embodiment 1. In this embodiment, according to the multi-dimensional feature points of each battery, the aggregate The distance from the center of the class is equalized to the number of batteries in the K battery packs, so that the number of batteries in each battery pack is M. The specific method is:
[0078] First, find the battery pack with the largest number of batteries from the K battery packs, and sort the distances from the multi-dimensional feature points of the batteries in the pack to the cluster center of the battery pack in the order from near to far, and then according to the Mth in the sequence The distance from the multi-dimensional feature point of the following battery to the clustering center of the battery group with the number of batteries less than M is used to allocate the battery after ...
specific Embodiment approach 3
[0079] Specific Embodiment 3. This embodiment is a further description of the multi-characteristic parameter grouping method for battery equivalence described in Embodiment 1. In this embodiment, the clustering centers of the k battery packs that have been exchanged between groups are calculated by formula:
[0080] μ k = Σ p = 1 M 1 { c ( p ) = k } x ( p ) Σ p = 1 M ...
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