Cell Block Voltage Analytics for Battery Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Battery systems in information handling systems face challenges in balancing cell blocks effectively and identifying self-discharge rates, leading to inefficient energy use and reduced battery lifespan due to variations in energy storage capacities and discharge rates among cell blocks.
Innovation Solution
A battery management unit (BMU) with a cell block monitoring module that performs selective discharging and balancing of cell blocks to ensure all cells reach maximum charge levels, and a current sense module that tracks current and voltage to detect overcharging and self-discharge rates, thereby optimizing energy usage and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional battery management systems charge all cell blocks simultaneously, then charging simplicity is maintained, but cell blocks with different energy storage capacities cannot be fully charged, leading to reduced battery lifespan and inefficient energy use
Solution Approach 1:
The patent segments the battery management into multiple priority groups based on cell block characteristics. The BMU divides cell blocks into different priority groups (first priority, second priority, etc.) and charges them in sequence rather than simultaneously. This segmentation allows each group to be charged to its optimal level before moving to the next group, resolving the contradiction by enabling differentiated charging without requiring complete system redesign.
Solution Approach 2:
The patent applies local quality by providing different charging strategies to different cell blocks based on their individual characteristics. Each cell block receives charging current according to its specific energy storage capacity, discharge rate, and state of charge. This localized approach ensures that each cell block is charged to its optimal level, improving overall battery reliability while maintaining manageable complexity through automated priority assignment.
2Use of energy by moving object
If the battery management unit performs continuous monitoring and balancing of all cell blocks, then energy usage efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing discharge rate data for each cell block before charging operations begin. The BMU determines discharge rates during idle periods or previous discharge cycles, so that during charging, it can quickly reference this pre-computed data to make balancing decisions. This eliminates the need for complex real-time calculations during charging, improving energy efficiency while keeping the monitoring system manageable.
Solution Approach 2:
The patent implements self-service by enabling cell blocks to effectively balance themselves through the priority group mechanism. Cell blocks with higher discharge rates or lower capacity automatically receive higher charging priority, allowing them to self-correct imbalances without requiring complex active balancing circuitry. This passive self-balancing approach improves energy efficiency while minimizing additional hardware complexity.
3Measurement precision
If the system implements detailed tracking of current and voltage for each cell block, then self-discharge rate identification accuracy is improved, but measurement and data processing requirements increase
Solution Approach 1:
The patent extracts only the essential data elements needed for self-discharge rate determination. Instead of processing all possible measurement parameters, the BMU focuses specifically on voltage changes during idle periods and correlates them with known discharge rates. By extracting and analyzing only the critical voltage-time relationship data, the system achieves accurate self-discharge rate identification while minimizing data processing requirements.
Data Source
AI summary
A battery management unit includes a cell balancing module to perform cell balancing between a cells in a battery cell stack, and a controller operable to determine, during a first charge cycle, that the first cell has reached an over-voltage threshold before the second cell, to determine, during a discharge cycle, that the first cell has reached an under-voltage threshold before the second cell, to identify the first cell as having a lower capacity than the second cell based upon the determination that the first cell reached the over-voltage threshold before the second cell and upon the determination that the first cell reached the under-voltage threshold before the second cell, and to prevent, during another charge cycle, the cell balancing module from performing cell balancing on the first cell based upon the first cell being identified as having the lower capacity than the second cell.