Vehicle Electrical System Health Analysis via Fleet Segmentation
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Solution Overview
Problem
Existing technologies lack an efficient method to determine the health of vehicle batteries and electrical systems, leading to unpredictable vehicle performance and potential failures, which can be inconvenient and costly.
Innovation Solution
A system comprising a processor and a non-transitory storage medium that determines electrical characterizations for subsets of vehicles based on collected electrical data, calculates differences between these characterizations, and selects a subset of vehicles for generating an electrical system metric indicative of performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If electrical system performance is monitored for all vehicles without differentiation, then comprehensive data coverage is achieved, but analysis accuracy deteriorates due to heterogeneity in electrical system metrics across different vehicle types
Solution Approach 1:
The patent segments the vehicle fleet into multiple subsets based on electrical system characteristics, vehicle types, and operational parameters. Each subset is analyzed separately to generate tailored performance metrics, ensuring both comprehensive coverage and accurate comparisons within homogeneous groups.
Solution Approach 2:
The patent applies different analysis methods and performance thresholds to different vehicle subsets based on their specific characteristics. Each subset receives customized evaluation criteria appropriate to its electrical system configuration, rather than applying a uniform standard to all vehicles.
2Loss of information
If electrical parameters are collected from all vehicles continuously, then complete performance data is obtained, but system complexity and computational burden increase
Solution Approach 1:
The patent extracts and focuses on specific key electrical parameters relevant to performance assessment rather than processing all possible vehicle data. By identifying and isolating the most informative parameters, the system reduces computational complexity while maintaining analytical completeness.
Solution Approach 2:
The patent implements selective data collection and processing, applying analysis only to the extent necessary for meaningful performance assessment. Rather than continuously processing all parameters for all vehicles, the system applies targeted analysis to relevant subsets and parameters.
3Device complexity
If performance thresholds are set based on average vehicle performance, then simplicity is maintained, but reliability of failure prediction decreases due to outliers and variability
Solution Approach 1:
The patent establishes separate performance thresholds for different vehicle subsets rather than using a single average-based threshold. Each subset receives thresholds calibrated to its specific performance characteristics, improving the reliability of failure predictions for diverse vehicle types.
Data Source
AI summary
The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.