Battery Life Estimation Error Correction via Usage and Environment Weights
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Solution Overview
Problem
Current battery life estimation methods in electric vehicles are inaccurate due to the lack of consideration for battery usage and environmental factors, leading to errors in state of health (SOH) assessment and premature battery replacement.
Innovation Solution
An apparatus and method that collect battery usage and environmental information to correct the estimated battery life using a degradation model, calculating weights based on the influence of factors like rapid discharge, charge, and temperature exposure, and applying these weights to improve the accuracy of SOH estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery life estimation is based only on capacity without considering usage and environmental factors, then the estimation method is simple, but the accuracy of state of health assessment deteriorates
Solution Approach 1:
The patent segments the battery degradation factors into distinct components: usage factors (charge/discharge cycles, depth of discharge) and environmental factors (temperature, humidity). Each factor is modeled separately and then integrated through weighted combination, allowing comprehensive accuracy improvement while maintaining manageable system complexity through modular analysis.
Solution Approach 2:
The patent introduces multiple parameters beyond simple capacity, including usage patterns, environmental conditions, and their respective weights. By changing from a single-parameter estimation to a multi-parameter weighted model, the system achieves higher measurement precision while the weighting mechanism helps control the complexity through prioritization of critical factors.
2Reliability
If battery life estimation ignores usage and environmental factors, then the system operation is simple, but premature battery replacement occurs due to inaccurate SOH assessment
Solution Approach 1:
The patent implements preliminary modeling of degradation factors by pre-establishing the relationships between usage patterns, environmental conditions, and battery degradation. The weighted parameters and degradation models are prepared in advance, allowing the system to reliably assess SOH and determine replacement timing without requiring complex real-time computations, thus improving reliability while controlling operational complexity.
3Measurement precision
If comprehensive battery usage and environmental information is collected and analyzed, then the accuracy of battery life estimation is improved, but the computational complexity increases
Solution Approach 1:
The patent extracts and isolates the critical degradation factors from the complex battery operating data. By identifying and separating the key usage factors (charge/discharge patterns) and environmental factors (temperature, humidity) from the overall operational data, the system achieves accurate SOH estimation while reducing the processing burden by focusing only on the most influential parameters rather than analyzing all available data.
Solution Approach 2:
The patent applies local quality by assigning different weights to different degradation factors based on their specific influence on battery aging. Instead of treating all data equally, the system gives higher importance to critical factors like temperature and charge depth while reducing the weight of less influential parameters, thereby achieving high measurement precision with reduced computational effort by focusing resources on the most significant local factors.
Data Source
AI summary
An apparatus and method for correcting an error occurring in estimation of a life of a battery. Either one or both of usage information and battery environment information are collected, and a weight corresponding to the either one or both of the battery usage information and the battery environment information may be calculated from a battery degradation model. The calculated weight may be reflected on a state of health (SOH), and the SOH may be corrected.