Lithium-ion battery-based cascade utilization energy storage system and capacity optimization method

By collecting multidimensional health characteristic parameters of lithium-ion battery packs and calculating dynamic consistency weight coefficients, unsupervised clustering and dynamic topology reconstruction are adopted to solve the bottleneck effect caused by the difference in cell degradation in the secondary use of lithium-ion batteries, thereby optimizing system capacity and extending lifespan, and reducing the cost of energy storage systems.

CN122246332APending Publication Date: 2026-06-19SICHUAN GRANDTECH NEW ENERGY TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN GRANDTECH NEW ENERGY TECHNOLOGY CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

In the current cascade utilization of lithium-ion batteries, the fixed series-parallel structure cannot effectively solve the bottleneck effect caused by the difference in the degradation of individual cells, which affects the system life, safety and economy. Existing optimization methods have failed to take into account the future degradation trend of cells.

⚗Method used

By collecting multidimensional health characteristic parameters of lithium-ion battery packs, calculating dynamic consistency weight coefficients, using unsupervised clustering algorithms to divide cell clusters, forming a dynamic topology, and realizing battery series and parallel connection through power electronic converters, the system capacity and topology connection are iteratively optimized by combining Gaussian process regression models to predict lifetime.

🎯Benefits of technology

It effectively solves the bottleneck effect of cascaded utilization of lithium-ion battery packs, improves the overall available capacity and cycle life of the system, ensures long-term stable operation of the system, reduces the cost of energy storage systems, and promotes the large-scale application of retired lithium-ion batteries.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a cascaded utilization energy storage system and capacity optimization method based on lithium-ion batteries, belonging to the field of energy storage technology. It calculates the dynamic consistency weight coefficient of each individual cell based on health characteristic parameters. The dynamic consistency weight coefficient is a weighted combination of the current state of charge value and the future decay rate factor. An unsupervised clustering algorithm is used to perform cluster analysis on the dynamic consistency weight coefficients of all individual cells, dividing the cells into several clusters with consistent internal decay trends. This invention effectively solves the bottleneck effect problem in the assembly process of cascaded utilization lithium-ion batteries, improving the overall available capacity and cycle life of the system. By accurately collecting multi-dimensional health characteristics of the cells and combining them with the dynamic consistency weight coefficient, scientific clustering and dynamic topology reconstruction of the cells are achieved, ensuring consistent decay trends within clusters and avoiding local overcharging and over-discharging.
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