Battery Cell Charging Profiles Based on Degradation Parameters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Fast charging of battery cells can accelerate degradation, particularly when the state of charge (SOC) is high, leading to potential internal shorts and lithium capacity loss due to lithium metal deposition on the anode surface.
Innovation Solution
A processor-implemented method that communicates with a server to generate and store a look-up table (LUT) based on degradation parameters, allowing for the determination of an optimal charging profile by measuring battery information and updating the state of health (SOH) of the battery cell, which in turn enables informed charging decisions to minimize degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high current charging is used to increase charging speed, then charging speed is improved, but battery degradation is accelerated
Solution Approach 1:
The charging current is dynamically adjusted based on real-time battery state measurements (voltage, current, temperature) and degradation parameter estimates. The system transitions from static constant current charging to dynamic variable current charging, modifying the charging profile during the charging process to prevent degradation while maintaining high charging speeds when safe.
Solution Approach 2:
The system changes charging parameters (current magnitude, voltage limits) based on the estimated degradation state of the battery. As degradation parameters evolve, the charging profile adapts by adjusting current levels and voltage thresholds, transforming the charging process from a fixed parameter approach to a variable parameter approach that responds to battery health changes.
2Ease of operation
If constant current charging is used to simplify charging control, then control complexity is reduced, but battery degradation occurs at high SOC
Solution Approach 1:
The system implements feedback control by continuously measuring battery voltage, current, and temperature, estimating degradation parameters, and using this information to adjust the charging current. The feedback loop compares actual battery response with expected behavior and modifies charging parameters accordingly, transforming open-loop constant current charging to closed-loop adaptive charging.
Solution Approach 2:
The system replaces simple mechanical constant current control with an intelligent control system that uses electrochemical models and degradation parameter estimation. The control mechanism transitions from basic electrical control to a sophisticated system that incorporates battery chemistry understanding and health monitoring to make informed charging decisions.
Data Source
AI summary
A processor-implemented method with battery cell charging includes: for each degradation parameter set comprising one or more degradation parameters related to degradation, communicating with a server configured to generate and store a look-up table (LUT) comprising charge data for each index combination of the one or more degradation parameters comprised in the degradation parameter set; determining a current value of the one or more of the degradation parameters corresponding to a target battery cell of an electronic device and transmitting the current value to the server; receiving an LUT corresponding to the current value of the one or more degradation parameters from the server; and charging the target battery cell based on a charging profile that is generated by charge data of the received LUT.