Battery Life Prediction Using Real-World Power Test Patterns
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Solution Overview
Problem
Conventional battery life prediction methods using repetitive cycling tests in controlled environments fail to accurately predict residual life in real-world conditions due to varying charge/discharge patterns in actual sites.
Innovation Solution
A battery life prediction apparatus and method that generates a test pattern based on actual site power patterns, allowing for charging/discharging tests that mimic real-world conditions, using a pattern generating unit and life predicting unit to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional repetitive cycling tests with fixed parameters are used, then test simplicity and controllability are improved, but prediction accuracy for actual site conditions deteriorates
Solution Approach 1:
The patent transforms the static, fixed-parameter test cycles into dynamic, adaptive test patterns. The pattern generating unit creates test patterns where charging/discharging rates, durations, and sequences vary according to actual site power patterns, allowing the test system to adapt to real-world variability while maintaining systematic control through automated pattern generation and execution
Solution Approach 2:
The patent systematically varies multiple test parameters including charging/discharging rates (C-rates), voltage ranges, time durations, and power patterns to match actual site conditions. By changing these parameters dynamically based on stored power pattern data, the system achieves both controllability through structured variation and accuracy through realistic condition simulation
2Loss of time
If tests are conducted with simplified repetitive cycles, then test time and complexity are reduced, but applicability to actual site conditions deteriorates
Solution Approach 1:
The patent performs preliminary actions by storing multiple power pattern data representing different actual site conditions before conducting tests. The pattern generating unit pre-processes this data into structured test patterns, allowing the system to quickly switch between different realistic scenarios without extensive reconfiguration during testing, thus reducing overall test time while maintaining high adaptability
Solution Approach 2:
The test system achieves universality by being able to conduct multiple types of charging/discharging tests using a single apparatus. By storing diverse power pattern data and generating corresponding test patterns, the system can simulate various actual site conditions (different power patterns, rates, and sequences) without requiring separate specialized test equipment for each scenario
Data Source
AI summary
A battery life prediction apparatus including a storing unit storing a plurality of pieces of power pattern data used in an actual site, a pattern generating unit generating a test pattern for predicting a life of a battery based on the power pattern data, and a life predicting unit predicting a residual life of the battery based on the test pattern.


