Battery Pack Expansion Detection Using Peripheral Sensing Arrays
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Solution Overview
Problem
Conventional battery pack detection methods require multiple detection units for each battery, increasing cost and occupying space, leading to poor space utilization and inefficiency.
Innovation Solution
A battery pack detection system using two first sensing modules and two second sensing modules, along with a computing module, to detect excessive expansion in batteries by sensing deformations at the periphery of the battery pack, allowing for accurate identification of defective batteries using cheap and simple components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detection units are set up on each battery to detect expansion, then detection accuracy is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent merges multiple detection functions into a single detection unit positioned at the battery pack level rather than individual battery level. The detection unit measures overall battery pack expansion and the computing module calculates individual battery expansion states by analyzing the combined measurement data, thereby reducing the number of detection units while maintaining detection capability.
Solution Approach 2:
The single detection unit serves multiple functions: it detects expansion of the entire battery pack, and through computational processing, it identifies expansion states of individual batteries. This multi-functional approach allows one detection unit to perform what would traditionally require multiple separate detection units.
2Measurement precision
If multiple detection units are installed on each battery, then detection coverage is improved, but space utilization deteriorates due to occupation of space between batteries
Solution Approach 1:
The detection unit is extracted from the individual battery level and repositioned to the battery pack level. This extraction allows the detection unit to be installed in the peripheral region surrounding the battery pack rather than in the inter-battery spaces, thereby improving space utilization while maintaining detection coverage through computational analysis.
3Reliability
If conventional detection methods are used with individual detection units on each battery, then detection reliability is improved, but cost increases significantly
Solution Approach 1:
The system creates a computational model that replicates the detection capability of multiple physical sensors. By using a single physical detection unit and processing its output through algorithms that calculate individual battery expansion states, the system achieves detection reliability comparable to having multiple sensors while significantly reducing the quantity of physical components required.
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
The system effectively reduces detection costs and improves space utilization by accurately identifying excessively expanded batteries, ensuring timely replacement and maintaining stable power output.
Implementation Method 1
sensing a sum of first expansions of corresponding batteries among the plurality of batteries by M first sensing parts of each of two first sensing modules respectively disposed on the first side and the another side of the battery pack to output M first deformations
Data Source
AI summary
A battery pack detection system configured to be arranged surrounding a battery pack formed by a plurality of batteries arranged in an M×N array includes first sensing modules, second sensing modules and a computing module. Each first sensing module includes M first sensing parts each configured to sense a sum of first expansions of the N batteries in the corresponding column. Each second sensing module includes N second sensing parts each configured to sense a sum of second expansions of the M batteries in the corresponding row. Each of M and N is an integer greater than or equal to 2. The computing module connects with the first sensing modules and the second sensing modules so as to determine whether each battery is a defective battery based on the first expansion sum, the second expansion sum, corresponding first addresses and corresponding second addresses.