Battery Power Estimation via Charging Current Curve Mapping
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Solution Overview
Problem
Conventional portable electronic devices inaccurately estimate battery power due to simple models that fail to account for variations in charging conditions and environmental factors, often leading to premature charging warnings.
Innovation Solution
A method and apparatus that monitor charging current and voltage data over time, using curve mapping with predetermined characteristic data to determine estimation parameters based on cycle counts, representing battery age, for accurate power estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simple model is used for power estimation, then the device complexity is reduced, but the measurement precision of battery power estimation deteriorates
Solution Approach 1:
The charging process is divided into multiple time intervals, with each interval having its own linear relationship parameters. This segmentation allows the model to capture different charging characteristics at different stages, improving estimation accuracy without requiring a single complex model.
Solution Approach 2:
The model dynamically determines the number of time intervals based on actual charging data, and continuously updates the linear relationship parameters for each interval. This dynamic adaptation enables the system to maintain high precision while keeping the overall model structure relatively simple.
2Ease of operation
If a simple model is used for power estimation, then the ease of operation is improved, but the reliability of power estimation deteriorates
Solution Approach 1:
The system continuously monitors actual charging data and compares it with the estimated values from the linear relationships. This feedback mechanism allows the model to validate its predictions and adjust parameters accordingly, enhancing reliability while maintaining operational simplicity through automated processes.
Solution Approach 2:
The system pre-establishes multiple linear relationship models for different charging intervals before actual power estimation is needed. This preliminary preparation enables quick and reliable estimation during operation without requiring complex real-time calculations, thus maintaining ease of operation while improving reliability.
3Device complexity
If a simple model is used for power estimation, then the device complexity is reduced, but the adaptability to different charging conditions deteriorates
Solution Approach 1:
By dividing the charging process into multiple time intervals with different linear relationship characteristics, the system can adapt to varying charging conditions at different stages. Each segment is optimized for its specific charging phase, improving overall adaptability without requiring a single overly complex model.
Solution Approach 2:
The model changes its parameters (linear relationship coefficients) based on the charging interval and observed charging behavior. This parameter adaptation allows the system to respond to different charging conditions and environmental factors, enhancing versatility while maintaining a relatively simple model structure.
Data Source
AI summary
A method for accurately performing power estimation on a battery of an electronic device includes: monitoring a charging current of the battery to obtain charging current data of the charging current with respect to time; and performing curve mapping according to the charging current data and according to a plurality of sets of predetermined curve characteristic data, in order to determine an estimation parameter corresponding to one of a plurality of predetermined cycle counts, wherein the estimation parameter is utilized for performing power estimation, and the sets of predetermined curve characteristic data respectively correspond to the predetermined cycle counts, which represent estimated ages of the battery, respectively. At least one associated apparatus is also provided.