一种估算电池健康状态的锂电池梯次利用方法
By using a multi-parameter fusion algorithm and active balancing technology, retired lithium batteries that meet the requirements for tiered utilization are selected, which solves the problem of low efficiency in the tiered utilization of lithium batteries and realizes the optimization of battery performance and efficient utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN UNIV OF SCI & TECH
- Filing Date
- 2025-02-21
- Publication Date
- 2026-07-17
AI Technical Summary
In the process of reusing retired lithium batteries, the lack of attention to differences in capacity, voltage, and internal resistance leads to low utilization efficiency. Furthermore, existing methods for calculating battery health status are inaccurate, resulting in resource waste and environmental pollution.
A multi-parameter fusion algorithm combined with adaptive weight adjustment is adopted to calculate the state of health (SOH) based on battery capacity, internal resistance, cycle count, and open-circuit voltage. The state of charge (SOC) is detected by combining an adaptive extended Kalman particle filter algorithm, and the battery module is optimized through active balancing technology to select battery cells that are suitable for cascade utilization.
This improves the efficiency of the secondary use of retired lithium batteries, ensures consistent battery performance, reduces resource waste and environmental pollution, and achieves optimized and efficient utilization of battery performance.
Smart Images
Figure CN120294569B_ABST