Battery State Estimation via Master-Slave Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
As the number of battery units increases, state estimation becomes complex and time-consuming, requiring either low-performance, low-cost devices for quick estimation or high-performance devices with increased production costs and complex operating systems.
Innovation Solution
A method to manage batteries by determining state information based on quantity data, calculating change information, and identifying target batteries for efficient state estimation, reducing the need for high-performance devices and lowering production costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complex state estimation algorithm is executed in a high-performance processing device, then the state of the battery can be estimated quickly and accurately, but the production cost increases and the operating system becomes complex
Solution Approach 1:
The patent segments the battery management system into a master battery management apparatus and slave battery management apparatus. The slave apparatuses handle individual battery unit monitoring and preliminary processing, while the master apparatus performs centralized state estimation using a complex algorithm. This segmentation allows the complex algorithm to be executed only where necessary (in the master apparatus), reducing overall system complexity while maintaining estimation accuracy.
Solution Approach 2:
The patent merges multiple battery management functions into a centralized master battery management apparatus. Instead of each battery unit requiring its own high-performance processing device, the system combines monitoring data from multiple slave apparatuses and processes them centrally. This merging reduces the total number of complex devices needed while maintaining accurate state estimation through consolidated computational resources.
2Quantity of substance
If the number of battery units increases, then the battery system capacity increases, but the state estimation becomes more complex and time-consuming
Solution Approach 1:
The patent divides the battery system into multiple manageable units, each monitored by a slave battery management apparatus. These segmented units report to a master apparatus that performs centralized estimation. This segmentation allows the system to scale to more battery units without proportionally increasing the complexity of individual processing devices, as the master apparatus handles the aggregate data efficiently.
Solution Approach 2:
The slave battery management apparatuses act as intermediaries between individual battery units and the master apparatus. They collect and pre-process data from their respective battery units, reducing the data burden on the master apparatus. This intermediary layer simplifies the overall state estimation process by organizing data from multiple battery units before centralized processing.
3Ease of manufacture
If a legacy processing device is used for state estimation, then the production cost is low, but the state cannot be quickly estimated when the number of battery units is large
Solution Approach 1:
The patent uses low-cost slave battery management apparatuses for individual unit monitoring and a centralized master apparatus for complex estimation. This segmentation allows the system to use inexpensive processing devices for data collection while concentrating computational resources only where needed for accurate and timely state estimation, maintaining cost-effectiveness even with large numbers of battery units.
Solution Approach 2:
The patent merges computational tasks so that simple monitoring functions are distributed across multiple low-cost slave apparatuses, while complex state estimation is performed once centrally by the master apparatus. This merging reduces the total computational burden compared to having each battery unit processed by a high-performance device, thereby lowering overall production costs while maintaining estimation speed through efficient centralized processing.
Data Source
AI summary
Disclosed is a battery management method and corresponding apparatus to manage a battery including determining state information of a target battery, among batteries, based on quantity data of the target battery. The method and apparatus also includes determining state information of a battery, different from the target battery, among the batteries, based on the state information of the target battery and difference information between electrical quantity data of the different battery and the electrical quantity data of the target battery.