Battery Module Acoustic Localization for Faulty Pack Replacement
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Solution Overview
Problem
Identifying the location of a faulty battery module within a battery pack is challenging, leading to time and cost inefficiencies in replacement processes.
Innovation Solution
A battery module location identification apparatus and method using a sound signal generated from the target battery module, comprising a microphone array, a camera, and a processor that generates location information based on images and sound signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional methods are used to identify faulty battery modules, then the replacement process can be completed, but it requires significant time and cost due to difficulty in locating the faulty module
Solution Approach 1:
The patent replaces manual inspection and mechanical search methods with an acoustic field-based detection system. Microphones capture sound signals from battery modules, and signal processing algorithms automatically identify the faulty module's location, substituting human effort and mechanical search with automated acoustic detection.
Solution Approach 2:
The patent introduces sound signals as an intermediary medium to detect faulty battery modules. The acoustic waves generated by battery modules serve as carriers of location information, allowing the system to identify faulty modules through their acoustic signatures without direct physical inspection.
2Loss of information
If manual inspection methods are used to locate faulty battery modules, then identification can be achieved, but it incurs high costs due to labor and time requirements
Solution Approach 1:
The patent creates a multi-functional system where the same apparatus performs both sound signal capture and location identification. The microphones, signal processing unit, and battery pack form an integrated system that simultaneously detects acoustic signals and determines faulty module locations, reducing the need for separate specialized devices.
Solution Approach 2:
The battery modules themselves generate the sound signals that reveal their status. The faulty modules naturally produce detectable acoustic emissions during operation or testing, allowing the system to self-identify problematic modules without requiring external active probing or complex diagnostic equipment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate identification of faulty battery modules by correlating sound signal strengths with visual images, reducing the time and cost associated with battery module replacement.
Implementation Method 1
receiving a sound signal from a microphone array
Implementation Method 2
capturing, by a camera, an image of the plurality of battery modules
Data Source
AI summary
A battery module location identification apparatus, method and system which identifies a location of a target battery module among a plurality of battery modules included in a battery pack using a sound signal generated from the target battery module, the battery module location identification apparatus including a microphone array having a plurality of microphones, a camera and a processor connected to the microphone array and the camera, wherein the processor generates location information of the target battery module based on an image of the plurality of battery modules captured by the camera and a sound signal received from the microphone array.