1 Introduction
CAE (Computer Aided Engineering) is a very effective method for battery development and design.
Examples of using CAE for battery development and design, including unpublished parts, are listed in Table 1. CAE (Computer Aided Engineering Design) is applicable to a variety of complex fields such as fluid, casting, and plastic processing. This article introduces an application example of studying the expansion of the scope of CAE and using it for the structural design of high-reliability fixed VRLA batteries. It is a case report on the use of CAE to study the shape of the battery tank in order to improve the performance of 36V-VRLA batteries.
2 Case (1): Stationary VRLA battery
2.1 Purpose of analysis
Fixed VRLA batteries are generally required to have a lifespan of more than 10 years, especially for batteries used for backup power. Battery performance must be ensured during use. Therefore, this type of battery requires higher reliability. As we all know, long-term trickle charging of backup power batteries causes the positive grid inside the battery to gradually oxidize and corrode. As the oxidation volume increases, the plate itself expands and deforms. Therefore, in order to maintain the performance of the battery during long-term use, it is necessary to absorb the expansion of the plate in some form to avoid deformation and breakage of the battery slot. When the battery is absorbed internally, it can also cause deformation and damage to the busbar, making it difficult to maintain battery performance.
When designing VRLA batteries, it is important to quantitatively predict and take countermeasures for problems that can be predicted during use. This study discusses the use of CAE (computer-aided engineering) design to analyze battery strength, trying to predict the phenomena that may occur during use, and requiring further improvement of battery reliability.
2.2 Analysis methods
The analyzed limited influence factor model of VRLA battery is shown in Figure 1. The positive electrode group was subjected to a three-level modeling analysis. After the modeling analysis, the slot was installed. The plate expansion is given an assumed temperature based on the expansion rate of the plate, and the expansion of the plate is expressed by thermal expansion. The analysis is based on the limited influence factor analysis program.
The physical property data used for the analysis were obtained by using various experiments shown in Figure 2 to measure the strength of the materials that make up each part of the battery.
2.3 Analysis results
The stress distribution of the battery and the electrode group in the battery when the electrode group expands is shown in Figure 3. The stress is concentrated in the resin sealing part of the electrode column and the battery slot and cover part close to it. The comparison of the deformation and stress distribution simulated by computer and the deformation and destruction test results using real batteries is shown in Figure 4.
The simulation model forced the pole group inside the battery to shift upward and observed the state when the battery was damaged. The deformation process of the two was consistent. It was confirmed that the battery slot whitened and damaged in the high stress area, thus confirming the validity of the computer simulation.
From the results of computer simulation and model verification, when the maximum expansion rate of the plate is set to exceed 5%, the battery compartment remains intact, thus confirming the safety performance of this battery.
2.4 Improving reliability
In the test of reducing the stress of the battery slot, the test effect after reducing the number of pole pins from 2 to 1 is shown in Figures 5 and 6. When comparing the analysis results, the maximum stress of the battery slot is reduced by 40% with only one pole pin, and the reliability performance is further improved.
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