Dynamic SOC Estimation for Battery Charging Balance
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Solution Overview
Problem
Existing battery charging balancing techniques face inefficiencies due to inaccurate state of charge (SOC) estimation, leading to poor charging balancing and reduced battery lifetime, especially after prolonged use, as previous methods like the ampere-hour method become distorted over time.
Innovation Solution
A battery charging balancing system and method that continuously detect and record cell states to generate parameters, analyze these to select appropriate SOC estimation methods, and adjust charging current and time based on calculated SOC to maintain balance across cells, incorporating a micro-processing unit and various SOC estimation methods such as vector SOC estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional SOC estimation methods (ampere-hour method, Coulomb counting method) are used, then the charging balancing can be implemented, but the SOC estimation becomes inaccurate after prolonged battery use, leading to poor charging balancing
Solution Approach 1:
The system dynamically selects different SOC estimation methods based on the battery's operating state and usage history. Instead of using a fixed estimation method, the system adapts the estimation approach according to whether the battery is in charging, discharging, or idle states, and adjusts based on the number of charge-discharge cycles to maintain accuracy over time
Solution Approach 2:
The system changes the estimation parameters and methods based on battery usage conditions. When the battery is new, simpler methods like ampere-hour method are sufficient, but as usage time increases and distortion occurs, the system transitions to more sophisticated estimation methods that account for aging effects and capacity degradation
2Reliability
If SOC estimation is not accurate, then the charging balancing control cannot be effectively implemented, but using fixed estimation methods leads to distorted results after long use
Solution Approach 1:
The system continuously monitors battery parameters including voltage, current, temperature, and charge-discharge cycle counts. Based on this feedback, it evaluates the reliability of current SOC estimation and switches methods when degradation is detected, ensuring reliable charging balancing control throughout the battery's lifecycle
Solution Approach 2:
The system pre-stores multiple SOC estimation methods in the memory module, prepared in advance for different operating conditions. This allows the system to quickly switch to appropriate estimation methods without delay when usage patterns change or accuracy degradation is detected
Data Source
AI summary
A charging balancing system and method thereof based on a battery operating process and are disclosed. This is done by detecting a state of all cells in a detecting battery assembly to generate detection parameters, analyzing the detection parameters to produce an operating process, selecting at least one of residual power estimation methods according to the operating process, so as to calculate a residual power of each cell, and adjusting the charging current and charging time for each cell according to the residual power. As such, the efficiency of charging balancing is promoted.