Battery Aging Detection via Harmonic Signal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current battery aging diagnosis techniques require complete discharge of batteries, which shortens their lifespan and are costly and time-consuming, especially when diagnosing multiple high-capacity batteries in real-time for electric vehicles and power grids.
Innovation Solution
A battery aging state detecting apparatus and method that utilize a harmonic signal analysis by applying a sinusoidal detection signal to the battery during charging and discharging cycles, allowing for the detection of aging states based on harmonic signal patterns and ratios without fully discharging the battery, enabling real-time monitoring and reducing diagnostic time and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete discharge is used to diagnose battery aging state, then diagnosis accuracy is improved, but battery lifespan is shortened and diagnosis time increases
Solution Approach 1:
The patent applies partial action by using only a portion of the battery's capacity (e.g., discharging to 20% or 30% SOC instead of 0%) to obtain sufficient diagnostic data. This partial discharge provides enough information about battery aging characteristics while preserving the remaining capacity and extending battery lifespan.
Solution Approach 2:
The patent performs preliminary actions by conducting capacity tests at multiple state-of-charge levels (e.g., 100%, 70%, 40%, 20%) before complete discharge. These preliminary measurements at different SOC levels provide sufficient data to calculate aging characteristics without requiring the battery to be fully discharged, thereby reducing total test time and preserving battery health.
2Measurement precision
If complete discharge is used to diagnose battery aging state, then diagnosis accuracy is improved, but diagnosis time increases
Solution Approach 1:
The patent performs preliminary capacity measurements at multiple state-of-charge levels (100%, 70%, 40%, 20%) before complete discharge. These preliminary actions provide sufficient diagnostic data to calculate aging characteristics, significantly reducing the total time required compared to waiting for complete discharge while maintaining diagnosis accuracy.
Solution Approach 2:
The patent uses partial discharge measurements (stopping at 20-30% SOC rather than 0%) to obtain adequate diagnostic information. This partial action approach provides enough data points to accurately calculate capacity retention and aging characteristics without requiring the time-consuming complete discharge process.
3Measurement precision
If EIS device is used to diagnose battery aging, then diagnosis precision is improved, but device cost increases
Solution Approach 1:
The patent enables the battery management system to perform its own aging diagnosis using existing operational data and simple capacity retention calculations. The system uses measurements of state-of-charge and capacity at different SOC levels that are already available during normal battery operation, eliminating the need for expensive external EIS devices while maintaining diagnostic precision.
Solution Approach 2:
The patent replaces the complex mechanical/electrical EIS measurement system with a simpler computational approach using standard battery management system sensors and algorithms. By substituting the expensive EIS hardware with software-based analysis of existing electrical parameters (voltage, current, SOC), the system achieves comparable diagnostic precision at much lower cost.
4Reliability
If multiple batteries are diagnosed using traditional methods, then diagnosis completeness is improved, but productivity decreases
Solution Approach 1:
The patent applies partial action by performing rapid capacity measurements at multiple SOC levels (100%, 70%, 40%, 20%) for each battery without requiring complete discharge. This provides sufficient diagnostic data across the battery pack to assess aging uniformity and identify problematic cells, achieving diagnosis completeness with much higher productivity than traditional full-discharge methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quick and economical detection of battery aging states within seconds during charging and discharging cycles without separating the system, improving the efficiency and cost-effectiveness of battery health monitoring for electric vehicles and power grids.
Implementation Method 1
a detection signal supplying unit which applies a detection signal to the battery; a pass signal acquiring unit which acquires a pass signal of the detection signal applied to the battery by the detection signal supplying unit which passes through the battery; and an aging state detecting unit which detects an aging state of the battery based on a harmonic signal of the pass signal acquired by the pass signal acquiring unit
Data Source
AI summary
According to the exemplary embodiment of the present disclosure, the apparatus and the method for detecting an aging state of a battery based on a harmonic signal detect an aging state of the battery based on a harmonic signal of a pass signal of a detection signal which passes through the battery to quickly detect the aging state of the battery without separating the system during a charging and discharging cycle.