Parallel Battery Pack Switching Based on SOC, SOH, and Capacity
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Solution Overview
Problem
Existing battery systems fail to optimize performance when battery packs are connected in parallel due to insufficient representation of battery pack performance using state of charge (SOC) alone.
Innovation Solution
A battery system and method that determines optimal parallel pack combinations by considering both state of charge (SOC) and state of health (SOH) of each battery pack, using a controller to estimate capacity and connect packs in parallel based on voltage deviation, with a battery management system (BMS) controlling switches for optimal power operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If battery packs are connected in parallel based only on SOC, then the connection process is simple, but the system performance is not optimized
Solution Approach 1:
The patent changes the selection parameters from only SOC to multiple parameters including SOC, SOH, and voltage deviation. This allows the system to evaluate battery packs more comprehensively, selecting optimal combinations that maximize energy output while maintaining safety and reliability.
Solution Approach 2:
The patent adds new dimensions to the battery pack selection process by introducing SOH and voltage deviation as additional evaluation criteria. This multi-dimensional approach transforms the simple SOC-based selection into a comprehensive optimization process that considers both current state and long-term health of battery packs.
2Productivity
If battery packs with different degradation levels are connected in parallel, then more battery packs can be utilized, but performance optimization becomes difficult
Solution Approach 1:
The patent applies local quality by allowing different battery packs with varying degradation levels to be connected in parallel, but optimizes their combination by considering individual characteristics such as SOH and voltage deviation. This enables each battery pack to contribute according to its specific capabilities rather than requiring uniform quality across all packs.
Solution Approach 2:
The patent implements dynamic selection of battery pack combinations based on real-time parameters including SOC, SOH, and voltage deviation. The system can adaptively determine optimal parallel connections depending on the current state of each battery pack, maximizing utilization while maintaining performance optimization.
3Device complexity
If only SOC is considered for parallel connection, then the control logic is simple, but energy utilization is not maximized
Solution Approach 1:
The patent changes the control logic from simple SOC-based decisions to a more sophisticated evaluation that incorporates SOH and voltage deviation parameters. This enhanced parameter set enables the system to identify optimal battery pack combinations that maximize energy utilization while maintaining manageable control complexity through systematic evaluation methods.
Data Source
AI summary
Provided are a battery system including: a plurality of battery packs connected in parallel; a plurality of switches, each switch of the plurality of switches connected in series to a first end of respective battery pack; a battery monitoring integrated circuit (BMIC) configured to acquire state information including a plurality of pack voltages of the plurality of battery packs; and a controller configured to generate a plurality of candidate groups, estimate a respective capacity of each battery pack based on the state information, determine a final connection group from the plurality of the candidate groups to perform a power operation among the plurality of candidate groups based on each capacity of the plurality of battery packs, and transmit, to the BMIC, a pack control signal for turning on those switches connected to the at lest one battery pack belonging to the final connection group.