Battery Design Layout Optimization Using Tabu Search
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Solution Overview
Problem
Large-scale batteries composed of modular sub-units of commercial off-the-shelf battery cells face performance variability due to differences in individual cell and component performance, affecting overall battery efficiency.
Innovation Solution
A method utilizing a local search algorithm to determine optimal battery design layouts by swapping components within a battery design layout, guided by a tabu list, to improve operational parameters and objective function values, thereby enhancing battery performance and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of individual battery cells are used to form large-scale batteries, then the battery capacity and energy storage are improved, but performance variability increases due to differences in individual cell performance
Solution Approach 1:
The patent applies local quality by assigning different weights to different battery cells based on their individual performance characteristics. Each cell's contribution to the overall battery performance is adjusted according to its specific properties, allowing the system to optimize overall performance while accounting for individual cell variations. This is achieved through an optimization algorithm that determines optimal cell groupings and assignments based on measured performance parameters.
2Reliability
If manual optimization of battery design layouts is performed, then performance optimization can be achieved, but the computational time and complexity increase significantly
Solution Approach 1:
The patent replaces manual or exhaustive computational optimization methods with a specialized optimization algorithm that efficiently searches the solution space. The algorithm uses performance parameters of individual cells to guide the optimization process, systematically evaluating different cell groupings and assignments to find optimal configurations without requiring exhaustive enumeration of all possible arrangements.
Solution Approach 2:
The patent changes the approach from fixed cell assignments to dynamic, parameter-based optimization. By measuring actual performance parameters of individual cells and using these parameters as inputs to the optimization algorithm, the system dynamically determines optimal cell groupings and assignments. This allows the solution to adapt to actual cell performance variations rather than relying on predetermined configurations.
3Ease of manufacture
If standardized battery cell configurations are used, then manufacturing ease and assembly are improved, but performance optimization is limited due to inability to account for individual cell variations
Solution Approach 1:
The patent applies preliminary action by measuring and characterizing individual cell performance parameters before the optimization process. This pre-characterization data is stored and used as input for the optimization algorithm, which then determines the optimal configuration. By performing this measurement and optimization work before assembly, the system enables optimized performance while maintaining standardized manufacturing processes during actual production.
Data Source
AI summary
Systems, computer readable media, and method concern determining operational parameters of an inventory of components to be included in a battery. The method further includes determining an initial working solution for a battery design layout for the battery. The method also includes determining, based on the initial working solution, one or more possible solutions for the battery design layout utilizing a local search algorithm. The local search algorithm iteratively generates the one or more possible solutions from the initial working solution by swapping components from one or more components assigned to locations in the battery design layout with at least one of other components assigned to locations in the battery design layout and other components remaining in the inventory. The swapping of components is limited by a tabu list.