Removable Battery Abnormality Detection via Server-Based Data Comparison

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing systems for detecting abnormalities in electric objects and detachable batteries complicate the configuration of electric objects and increase manufacturing costs when used across a wide area, as each object must have data acquisition and transmission capabilities.

Innovation Solution

An abnormality detection system with a separate server that includes a detachable battery with measurement and identification data acquisition and storage, and a server with reference data comparison to detect abnormalities based on threshold differences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If each electric object is equipped with data acquisition and transmission functions, then abnormality detection capability is improved, but device complexity and manufacturing cost increase

Engineering Contradiction:
Improveabnormality detection capabilityVSAvoidconfiguration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the data acquisition and transmission functions from the electric object itself and relocates them to external components (detachable battery with detecting unit, and separate server). This allows the electric object to maintain simple configuration while still enabling abnormality detection through the external system that collects and analyzes data from multiple objects.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The detachable battery serves multiple functions: it provides power storage and simultaneously acts as a data collection node with detecting units and transmission capabilities. The server provides centralized data processing and abnormality detection for multiple electric objects. This multi-functional design eliminates the need for each electric object to have dedicated detection hardware.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If each electric object is equipped with data acquisition and transmission functions, then abnormality detection capability is improved, but manufacturing cost increases

Engineering Contradiction:
Improveabnormality detection capabilityVSAvoidmanufacturing cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent merges the detection resources across multiple electric objects by using a shared server infrastructure. Instead of each object having its own expensive detection and transmission system, the system combines data from multiple objects and uses centralized processing, significantly reducing per-unit manufacturing cost while maintaining detection capability.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system uses the detachable battery as an intermediary that copies and transmits data from the electric object to the server. This allows the expensive detection and analysis functions to be implemented once in the server rather than being replicated in each electric object, reducing overall system cost.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12545143B2Abnormality detection system
Publication Date: 2026.02.10 HONDA MOTOR CO LTD
  • US12545143B2 patent drawing
  • US12545143B2 patent drawing
  • US12545143B2 patent drawing

AI summary

An abnormality detection system includes a removable battery and a server. The removable battery has: a detector; a battery side acquisition unit for acquiring measured data that are the data of measured values measured by the detector and acquiring, from an object to be electrically driven, first recognition data for recognizing the object to be electrically driven; and a battery side storage unit. The server has: a server side storage unit for prestoring reference data that are the data acquired when the object to be electrically driven performs a predetermined operation; a server side acquisition unit for acquiring the measured data, the first recognition data, and second recognition data; and an abnormality detection unit for comparing actual work data obtained from the measured data with the reference data and detecting an abnormality when the difference between the actual work data and the reference data exceeds a threshold value.