Predictive Battery Charging Current Control for Battery Health
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Solution Overview
Problem
Current battery charging systems are inefficient in maximizing charging current while minimizing charging time without compromising battery health, often resulting in sub-optimal charging times due to overly conservative current limits.
Innovation Solution
A system that uses a processor to acquire real-time charging parameter measurements, estimate dynamic performance variables related to electrochemical phenomena, and generate a target current profile based on a mathematical model to control the charging current, ensuring it stays within predetermined limits to optimize charging efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If charging current is increased to reduce charging time, then charging speed improves, but battery health deteriorates due to excessive current
Solution Approach 1:
The patent implements dynamic current adjustment during charging by continuously monitoring battery state (temperature, voltage, current) and modifying the charging current in real-time based on detected electrochemical phenomena. This replaces static current limits with adaptive control that responds to changing battery conditions, enabling higher currents when safe and reducing them when degradation risks are detected.
Solution Approach 2:
The system employs feedback control by measuring battery parameters (voltage, current, temperature) and using these measurements to adjust the charging current. The controller monitors for electrochemical phenomena and modifies the current profile accordingly, creating a closed-loop system that balances charging speed with battery protection.
2Reliability
If charging current is limited to protect battery health, then battery reliability is maintained, but charging speed decreases
Solution Approach 1:
The patent changes the charging current parameter dynamically based on detected battery state and electrochemical phenomena. Instead of using a fixed current limit, the system adjusts current magnitude, duration, and timing according to real-time measurements, allowing maximum safe current to be applied at each moment rather than restricting to a conservative constant limit.
Solution Approach 2:
The system performs preliminary detection of electrochemical phenomena and predicts future battery state to preemptively adjust current before degradation occurs. By anticipating problematic conditions through model-based prediction, the controller can optimize current application in advance rather than reactively reducing current after issues arise.
3Productivity
If real-time dynamic control of charging current is implemented, then charging efficiency improves, but system complexity increases
Solution Approach 1:
The patent introduces a controller as an intermediary between the power source and battery that performs real-time monitoring and adjustment. This intermediary component manages the complexity by centralizing the control logic and using algorithmic approaches to detect electrochemical phenomena and determine optimal current profiles, rather than requiring complex hardware modifications throughout the charging system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for reduced charging time while maintaining battery health by dynamically adjusting current limits based on electrochemical processes, preventing degradation and optimizing charge time without negative effects on battery components.
Implementation Method 1
estimating a dynamic performance variable in real time, the dynamic performance variable related to an electrochemical phenomenon occurring within the battery system during the charging process
Implementation Method 2
the model is a mathematical model configured to simulate electrochemical processes in the battery system
Data Source
AI summary
A system for control of a battery system includes a processor electrically connected to the battery system. The processor is configured to perform, in real time during a charging process, acquiring a set of charging parameter measurements, and estimating a dynamic performance variable in real time, the dynamic performance variable related to an electrochemical phenomenon occurring within the battery system during the charging process. The processor is also configured to perform, in real time during the charging process, determining a charging limit based on the dynamic performance variable and a model of the battery system, predicting a future state of the battery system, generating a target current profile based on the future state and the charging limit, the target current profile configured to maintain the dynamic performance variable within the charging limit, and controlling the current applied to the battery system based on the target current profile.