Parallel Battery Power Allocation Using SOC and SOH Balancing
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Solution Overview
Problem
The unequal state-of-charge (SOC) and state-of-health (SOH) data among multiple batteries in parallel operation lead to uneven charging and discharging, resulting in reduced overall service life.
Innovation Solution
A central controller allocates discharge and charge powers to each battery based on their SOC and SOH data, ensuring the power is proportional or inversely proportional to these factors, balancing the load and extending the batteries' overall service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple batteries in parallel are charged with the same charge power, then the charging process is simple, but the batteries with lower state-of-charge data will be charged with particularly high power, affecting their service lives
Solution Approach 1:
The patent applies local quality by allocating different charge powers to different batteries based on their individual state-of-charge data. Each battery receives a customized charge power proportional to its SOC level, rather than applying uniform charge power. This localized differentiation resolves the contradiction by maintaining operational simplicity through automated proportional allocation while preventing any single battery from receiving excessively high power that would damage it.
Solution Approach 2:
The patent changes the charge power parameter dynamically based on the state-of-charge data of each battery. The charge power is adjusted proportionally according to each battery's SOC level, transforming the static uniform charging approach into a dynamic adaptive charging system. This parameter change enables the system to simplify operation through automated adjustment while protecting battery service life by preventing over-charging of batteries with lower SOC.
2Ease of operation
If multiple batteries in parallel are discharged with the same discharge power, then the discharge process is simple, but the overall service life of the batteries is reduced
Solution Approach 1:
The patent applies local quality in discharge by allocating different discharge powers to different batteries based on their individual state-of-charge and state-of-health data. Each battery's discharge power is customized according to its specific conditions, preventing batteries with lower SOH from being over-discharged. This localized approach maintains discharge process simplicity through automated allocation while extending overall battery service life by protecting vulnerable batteries.
Solution Approach 2:
The patent dynamically changes the discharge power parameter based on real-time monitoring of each battery's SOC and SOH data. The discharge power is proportionally adjusted according to each battery's capacity and health status, transforming the static uniform discharge approach into an adaptive discharge system. This parameter adjustment simplifies operation through automated control while extending service life by preventing excessive discharge of weakened batteries.
3Device complexity
If batteries with different state-of-health data are charged with the same charge power, then the charging system is simple, but the service lives of batteries with low state-of-health data are greatly affected
Solution Approach 1:
The patent applies local quality by differentiating charge power allocation based on each battery's state-of-health data. Batteries with lower SOH receive proportionally lower charge power, while healthier batteries receive higher charge power. This localized differentiation resolves the contradiction by maintaining relatively simple system operation through automated proportional allocation while protecting the service lives of batteries with low SOH from further degradation.
Solution Approach 2:
The patent dynamically adjusts the charge power parameter according to each battery's state-of-health data. The charge power is modified proportionally based on SOH levels, transforming the static uniform charging system into an adaptive charging system that automatically adjusts parameters. This parameter change maintains operational simplicity through automated control while significantly protecting the service lives of batteries with low state-of-health data.
Data Source
AI summary
A household load power supply method and a battery charge method are provided. A central controller can allocate a discharge power for each battery according to a required total discharge power, a state-of-charge data and state-of-heath data of n batteries, and the discharge power for each battery is proportional to the state-of-charge data and state-of-heath data of the each battery. A sum of discharge powers allocated to the n batteries is equal to the total discharge power. In this way, a battery with higher state-of-charge data and higher state-of-heath data can have higher discharge power, and the battery with higher state-of-heath data can have higher discharge power. Two dimensions, that is, the state-of-charge data and state-of-heath data are comprehensively considered, and thus the discharge powers allocated to the batteries are more reasonably and balanced, thereby extending an overall service life of a plurality of batteries in parallel.