Battery Charging Fuzzy Control for Temperature and Time Trade-offs
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Solution Overview
Problem
Existing battery charging methods face challenges in efficiently managing temperature rise and reducing charging time, leading to potential battery damage and prolonged charging times.
Innovation Solution
A fuzzy control method that measures battery parameters like surface temperature and remaining capacity, applies fuzzification and fuzzy rules to adjust the charging current in real-time, using a database of historical data to optimize charging efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Constant Voltage (CV) method is used, then charging voltage is maintained at optimal level, but charging time increases significantly (2-3 times longer for last 20% compared to first 80%)
Solution Approach 1:
The patent implements dynamic charging current adjustment by transitioning from fixed CV method to a method that continuously adapts charging parameters based on real-time temperature and battery state monitoring. The system dynamically modifies charging current in multiple stages, increasing current when temperature is low and battery capacity is high, then progressively reducing current as temperature rises or battery approaches full capacity, thereby resolving the contradiction between maintaining optimal voltage and reducing charging time
Solution Approach 2:
The patent changes the charging parameter from fixed voltage to variable current based on temperature and capacity parameters. By introducing temperature as a control parameter and establishing temperature-current relationships, the system adjusts charging current according to real-time temperature measurements, enabling faster charging when conditions permit while preventing overheating, thus resolving the time-voltage control contradiction
2Loss of time
If Constant Current (CC) method is used, then charging time is reduced, but battery temperature rises excessively causing under-charge or over-charge and potential damage
Solution Approach 1:
The patent implements a feedback control mechanism where temperature sensors continuously monitor battery temperature during charging, and the system responds by adjusting charging current in real-time. When temperature exceeds predefined thresholds, the system automatically reduces or pauses charging current, creating a closed-loop control that prevents thermal runaway while maintaining efficient charging, thus resolving the contradiction between charging speed and temperature control
Solution Approach 2:
The patent applies preliminary anti-action by establishing preventive temperature thresholds and corresponding current reduction strategies before thermal damage occurs. The system proactively monitors temperature trends and preemptively adjusts charging parameters when approaching critical temperature levels, preventing the harmful effects of excessive heating rather than reacting after damage occurs, thereby resolving the time-temperature contradiction
3Reliability
If two-step CC-CV method is used, then charging process is divided into stages, but total charging time increases due to configuration dependencies
Solution Approach 1:
The patent replaces the static two-step CC-CV methodology with a dynamic multi-parameter control system that continuously adapts charging current based on real-time temperature, capacity, and voltage measurements. Instead of rigid stage transitions, the system fluidly adjusts parameters throughout the charging process, eliminating the time loss associated with fixed stage transitions while maintaining comprehensive control, thus resolving the reliability-time contradiction
4Productivity
If pulse charging method is used, then charging efficiency is improved, but difficulty in fixing charging rules increases due to parameter variations across different battery makes and models
Solution Approach 1:
The patent creates a universal charging control system that functions across different battery types by using fundamental parameters (temperature, voltage, capacity) that are common to all rechargeable batteries. The system establishes generalizable charging rules based on these universal parameters rather than manufacturer-specific characteristics, enabling the same control logic to adapt efficiently to various battery makes and models, thus resolving the contradiction between charging efficiency and rule adaptability
Data Source
AI summary
The present disclosure provides a method for charging a battery. The method receives a plurality of battery parameters during the period of the battery charging, and the plurality of battery parameters are turned into fuzzification and corresponded to fuzzy rules to map out a fuzzy output. Then the fuzzy output is turned into defuzzification to obtain the value of the charging current. Therefore, the present disclosure can change the charging current adaptively to enhance the charging effect.