Battery Charge Map Selection for Speed, Temperature, and Lifespan
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Solution Overview
Problem
Existing battery charging technologies lack flexibility and often result in reduced battery lifespan or temperature exceedance due to limited user control over charging methods, leading to suboptimal performance.
Innovation Solution
A battery charge control apparatus and method that allows users to set charging objectives, deriving and selecting optimal charge maps based on user input, battery state, and charger state information, using a predefined graphical user interface to control charging according to user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fast charging is performed with high charge current, then charging speed is improved, but battery lifespan is shortened
Solution Approach 1:
The patent implements dynamic charge map selection that adapts to real-time battery state (temperature, SOC, health) and user preferences. The system dynamically adjusts charging parameters by selecting from multiple pre-stored charge maps with different characteristics, enabling flexible optimization between charging speed and battery protection based on current conditions.
Solution Approach 2:
The system changes charging parameters by selecting different charge maps that define various charge current profiles. Each charge map contains different charge current values at different SOC ranges, allowing the system to switch between aggressive fast charging profiles and conservative battery-protection profiles by simply changing which parameter set is active.
2Loss of time
If charge current is increased for fast charging, then charging time is reduced, but battery temperature exceeds optimal range
Solution Approach 1:
The system dynamically monitors battery temperature and adjusts the selected charge map accordingly. When temperature approaches critical thresholds, the system automatically selects charge maps with lower charge current values that maintain safer temperature profiles, while still providing users with the option to prioritize speed if they accept higher temperature risks.
Solution Approach 2:
The patent pre-stores multiple charge maps with different temperature characteristics before charging begins. This allows the system to anticipate temperature issues and select appropriate charge maps in advance based on predicted charging scenarios, rather than reactively adjusting during charging.
3Adaptability or versatility
If multiple charge maps are provided for user selection, then user freedom is improved, but device complexity increases
Solution Approach 1:
The patent segments the charging control into multiple pre-defined charge maps, each representing a different charging strategy (e.g., fast charge, balanced, battery protection). This segmentation allows complex charging behaviors to be divided into manageable, pre-configured profiles that are easier to implement and control than fully dynamic adjustments.
Solution Approach 2:
The system provides self-service by automatically selecting appropriate charge maps based on battery state and user preferences without requiring complex real-time calculations. The pre-stored charge maps contain all necessary parameter definitions, allowing the controller to simply select and execute the appropriate profile rather than computing optimal parameters from scratch.
Data Source
AI summary
According to embodiments of the present invention, a battery charge control apparatus may include at least one processor; and a memory configured to store at least one instruction executed by the at least one processor.The at least one processor may be configured to, upon receiving a user input information including a charging objective, derive a plurality of optimal charge maps that satisfy the charging objective based on battery state information and charger state information; output information on each of the derived optimal charge maps through a predefined graphical user interface (GUI); and upon receiving a user selection signal for one of the optimal charge maps, control charging of the battery based on an optimal charge map corresponding to the user selection signal.