Battery Deterioration Diagnosis Using Selectable AI Models

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Solution Overview

Problem

Existing battery diagnostic methods using single AI models for estimating battery deterioration accuracy are compromised by varying physical quantities due to different connected devices, leading to reduced estimation accuracy.

Innovation Solution

A battery diagnostic device that acquires physical quantities and selects a suitable diagnostic model from multiple AI models based on these quantities to estimate battery deterioration, improving estimation accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single diagnostic model is used for battery deterioration estimation, then the device complexity is reduced, but the estimation accuracy deteriorates when different devices are connected to the battery

Engineering Contradiction:
Improvedeterioration state estimation accuracyVSAvoidnumber of diagnostic models
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes the parameter of diagnostic model selection based on the connection status of external devices. When a protection circuit is connected, a first diagnostic model is selected; when no protection circuit is connected, a second diagnostic model is selected. This parameter-based selection resolves the contradiction by adapting the diagnostic approach to the specific operational context, maintaining high estimation accuracy without requiring a single overly complex model to handle all scenarios

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the diagnostic system into multiple specialized diagnostic models (first diagnostic model for batteries with protection circuits, second diagnostic model for batteries without protection circuits). Each model is optimized for its specific scenario, improving estimation accuracy for each segment while keeping individual model complexity manageable compared to a universal model

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If multiple diagnostic models are prepared for different connection scenarios, then the estimation accuracy is improved, but the device complexity increases

Engineering Contradiction:
Improvedeterioration state estimation accuracyVSAvoidmodel selection mechanism
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary detection of the connection status (whether a protection circuit is connected) before selecting the diagnostic model. This preliminary action allows the system to automatically choose the appropriate model in advance, improving estimation accuracy without requiring complex real-time decision-making mechanisms during the diagnostic process

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11995919B2Battery diagnostic device, battery diagnostic method, battery diagnostic program, and vehicle
Publication Date: 2024.05.28 TOYOTA JIDOSHA KK
  • US11995919B2 patent drawing
  • US11995919B2 patent drawing
  • US11995919B2 patent drawing

AI summary

A battery diagnostic device for diagnosing a state of a battery mounted on a vehicle includes: an acquisition unit that acquires a physical quantity indicating the state of the battery; a setting unit that sets one diagnostic model from two or more diagnostic models based on the physical quantity acquired by the acquisition unit; and an estimation unit that estimates a deterioration state of the battery based on the one diagnostic model set by the setting unit.