Lead-Acid Battery Deterioration Assessment Using AI Determination Data

The patent creates a virtual copy of the manual determination process by training an AI model on historical determination data and expert knowledge. This digital replica can automatically evaluate battery guarantee cases with the same flexibility as human experts, eliminating time consumption while preserving adaptability. The system copies the decision-making logic into a machine-executable format that maintains the nuanced judgment capabilities needed for various guarantee scenarios.

The patent replaces the mechanical manual determination process with an automated AI-based system. Instead of human experts physically examining batteries and making decisions, the system uses image recognition, data processing, and machine learning algorithms to automatically assess deterioration and determine guarantee eligibility. This substitution maintains the flexibility of expert judgment while eliminating the time and labor constraints of manual processes.

The patent implements a feedback mechanism where the AI system provides detailed determination results, confidence levels, and explanatory information to users. This transparency allows users to understand the basis for decisions, reducing dissatisfaction even when strict criteria are applied. The system can also learn from user feedback and adjustment patterns, gradually optimizing the balance between accuracy and user satisfaction while maintaining cost control.

The patent enables dynamic adjustment of determination parameters and criteria based on different battery types, usage conditions, and guarantee policies. By changing parameters such as deterioration thresholds, weightings of different assessment factors, and confidence level requirements, the system can adapt strictness levels to maintain both accuracy and user satisfaction for different scenarios while controlling guarantee costs.

The patent merges multiple determination procedures into a single integrated AI system that simultaneously performs image analysis, data evaluation, deterioration assessment, and guarantee determination. Instead of separate manual steps for each assessment type, the system combines these functions into a unified processing pipeline that maintains comprehensive accuracy while reducing operational complexity. The merged system processes all determination aspects in one automated workflow.

The patent creates a universal determination platform that handles multiple assessment functions through a single AI system. The system can evaluate various battery types, analyze different deterioration indicators, process multiple data sources, and apply different guarantee criteria all through one multi-functional platform. This universality maintains comprehensive determination accuracy while eliminating the need for separate specialized procedures for each assessment type.