Battery Charging History Visualization for State-of-Health Clarity
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Solution Overview
Problem
Existing battery health monitoring systems in electric vehicles provide limited insights into battery degradation, with numerical readouts that are not easily understood by drivers and fail to illustrate the impact of charging habits on battery health, leading to misunderstandings and suboptimal maintenance practices.
Innovation Solution
A visualization system that displays a detailed history of charging events, including type and duration, to estimate battery degradation and provide a graphical representation on the vehicle's display, allowing drivers to understand the impact of their charging behaviors on battery health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If numerical readouts are used to display battery health, then the system is simple to implement, but the information is not easily understood by drivers
Solution Approach 1:
The patent uses color-coded visualizations to represent different aspects of battery health and charging habits. Different colors indicate various charging types (e.g., fast charging vs. slow charging) and their impact on battery degradation, making the information more accessible and easier to understand for drivers without requiring numerical literacy.
Solution Approach 2:
The patent transforms one-dimensional numerical data into two-dimensional visual representations using charts and graphs. This dimensional transformation allows drivers to perceive battery health trends, charging patterns, and degradation rates more intuitively by visual spacing and pattern recognition rather than numerical reading.
2Loss of information
If detailed charging history is displayed, then driver understanding of battery health improves, but the display complexity increases
Solution Approach 1:
The patent divides the charging history into distinct segments or categories (e.g., fast charging events, slow charging events, partial charges, full charges). Each segment is represented by different visual elements in the chart, allowing detailed information to be organized and displayed in a structured manner that is easier to process than a continuous data stream.
Solution Approach 2:
The patent introduces visual intermediaries such as chart elements, color codes, and graphical symbols that mediate between the raw charging data and the driver's understanding. These visual intermediaries translate complex charging events into intuitive graphical representations without requiring the driver to interpret raw numerical data.
3Measurement precision
If charging event data is collected and processed, then battery degradation estimation accuracy improves, but the system complexity increases
Solution Approach 1:
The system automatically collects, processes, and visualizes charging event data without requiring manual input or intervention from the driver. The battery management system self-services by gathering data from existing sensors, calculating degradation rates, and generating visualizations, thereby achieving accurate estimation without adding significant operational complexity.
Solution Approach 2:
The patent combines multiple data processing functions into a unified system that integrates data collection, degradation calculation, and visual generation in a single coordinated process. By merging these functions rather than implementing them as separate complex subsystems, the system achieves accurate battery degradation estimation while minimizing overall system complexity.
Data Source
AI summary
A method for visualizing health of a re-chargeable battery includes collecting, over a period of time, charging event data including charging type and charging duration. The method also includes determining an estimated battery degradation based on the charging event data, the estimated battery degradation accounting for normal battery degradation. The method further includes generating a visual representation of the charging event data and the estimated battery degradation. The method also includes displaying the visual representation via an in-car display