Battery Device Assignment Using User-Based Ageing Prediction
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Solution Overview
Problem
The existing methods for determining the ageing state of battery-powered devices, such as vehicles, are inaccurate and costly, lacking direct measurement capabilities and leading to varying residual values at the end of their useful life, which complicates leasing and maintenance due to different usage behaviors among users.
Innovation Solution
A method that predicts the ageing state of device batteries by simulating usage parameter profiles based on user behavior, converting them into load profiles, and using hybrid ageing state models to estimate the battery's condition, allowing for optimal device assignment and residual value determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurement of ageing state is implemented using sensors inside the device battery, then measurement precision is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent introduces an intermediary system consisting of operational parameter sensors and a control device that indirectly determines ageing state through mathematical models and algorithms, rather than directly measuring it with battery-internal sensors. This mediator approach achieves accurate ageing assessment without modifying the battery structure.
Solution Approach 2:
The patent replaces the mechanical/physical approach of direct ageing measurement with sensors inside the battery with a computational approach using operational parameter data, differential equations, and chronological integration methods. This substitution eliminates the need for complex battery instrumentation.
2Measurement precision
If high temporal resolution sampling is used to determine ageing state, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent uses high temporal resolution sampling (1-100 Hz) which may be excessive for actual ageing detection needs, but accepts the energy cost as necessary to capture sufficient operational parameter data for accurate model-based ageing determination through chronological integration.
Solution Approach 2:
The patent introduces mathematical models and algorithms as intermediaries that process the sampled operational parameter data to extract ageing information, thereby enabling accurate ageing determination while providing a framework to optimize sampling rates and reduce energy consumption compared to direct continuous monitoring.
3Device complexity
If device batteries are assigned without considering usage behavior, then device complexity is reduced, but loss of information occurs regarding residual value and remaining service life
Solution Approach 1:
The patent performs preliminary determination of usage categories and predicted usage parameter profiles before assigning devices to users. By pre-calculating ageing state simulations for different usage scenarios, the system enables informed assignment decisions that optimize residual value without requiring complex real-time monitoring during the assignment process.
Solution Approach 2:
The patent segments usage behavior into distinct usage categories (e.g., intensive, moderate, light usage) and associates different device types with different usage categories. This segmentation simplifies the assignment system by creating discrete, manageable categories rather than requiring continuous analysis of individual usage patterns.
4Adaptability or versatility
If multiple device types are available for assignment, then adaptability is improved, but device complexity increases due to multiple ageing simulations
Solution Approach 1:
The patent performs preliminary ageing state simulations for multiple device types under different usage categories before actual assignment. By pre-calculating predicted ageing states for various device-user combinations, the system enables flexible, adaptive assignment decisions without requiring complex real-time simulations when a device needs to be assigned.
Solution Approach 2:
The patent segments the device pool into different device types and associates each with specific usage categories. This segmentation allows the system to handle multiple device types systematically by matching device characteristics with predicted usage patterns, making the complexity of evaluating multiple options more manageable through structured categorization.
Data Source
AI summary
A computer-implemented method for assigning a device type of a battery powered technical device having a device battery and belonging to a plurality of various device types to a user.