Power Battery Consistency Estimation via Voltage Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The inconsistency among power battery cells in electric vehicles, caused by factors like technological and environmental variations during production and usage, leads to reduced vehicle endurance, battery pack health issues, and premature failure.
Innovation Solution
A method for estimating and visualizing the consistency of power batteries involves detecting real-time operating voltages, performing filtering processes, calculating energy scores, and determining consistency scores using statistical data and machine learning models, with visualization tools to display abnormal cells or vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time voltage detection and filtering processes are performed on each cell, then measurement precision of battery consistency is improved, but device complexity and computational requirements increase
Solution Approach 1:
The battery pack is divided into individual cell units, with separate voltage detection and energy score calculation performed for each cell. This segmentation allows precise measurement of each cell's state while enabling modular processing of the data, balancing measurement precision with manageable system complexity.
Solution Approach 2:
Voltage data is pre-processed through filtering processes before consistency evaluation. The first filtering process removes abnormal voltage data, and the second filtering process selects voltage data within specific SOC ranges. This preliminary action reduces computational complexity in subsequent consistency calculations while maintaining measurement precision.
2Reliability
If comprehensive filtering and scoring processes are applied to evaluate each cell, then reliability of power battery assessment is improved, but loss of time for data processing increases
Solution Approach 1:
The patent performs preliminary filtering of voltage data before consistency evaluation. The first filtering process eliminates abnormal data points, and the second filtering process pre-selects data within appropriate SOC ranges. This preliminary action ensures reliable assessment while reducing the computational burden and time required for subsequent analysis.
Solution Approach 2:
The system uses the battery's own operating data (voltage, current, SOC) to perform self-assessment and consistency evaluation. By leveraging existing operational parameters, the system achieves reliable assessment without requiring external testing equipment or additional time-consuming measurements.
3Manufacturing precision
If multiple filtering processes and statistical analyses are performed, then manufacturing precision of consistency evaluation is improved, but productivity of testing process decreases
Solution Approach 1:
The patent implements preliminary filtering processes that pre-process voltage data before consistency evaluation. The first filtering process removes abnormal data, and the second filtering process selects data within specific SOC ranges. This preliminary action ensures high evaluation precision while reducing the computational workload for subsequent analysis.
Solution Approach 2:
The patent replaces complex mechanical testing procedures with computational methods. Instead of physical disassembly and individual cell testing, the system uses voltage detection, filtering processes, and energy score calculations to achieve precise consistency evaluation, significantly improving testing efficiency while maintaining high precision.
4Reliability
If real-time monitoring and visualization are implemented, then reliability of battery management is improved, but use of energy for data collection and processing increases
Solution Approach 1:
The monitoring system uses the battery's own operational data (voltage, current, SOC) to perform consistency evaluation and generate visualizations. By leveraging existing operational parameters, the system achieves reliable battery management without requiring additional energy-intensive sensing equipment or external power sources.
Solution Approach 2:
The patent extracts only the essential voltage data needed for consistency evaluation from the battery's operational parameters. Through selective filtering and energy score calculation, the system extracts critical information for reliable monitoring while minimizing energy consumption by avoiding unnecessary data collection and processing.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
Disclosed is a method for estimation of consistency for power battery which is composed of a plurality of cells and is configured to provide energy for a vehicle, the method for estimation comprising: detecting operating voltages for each cell of the plurality of cells in real time during the operation period of the vehicle to obtain a first voltage dataset for the each cell; performing a first filtering process on the first voltage dataset to retain voltage data corresponding to operating currents less than a first threshold, to obtain a filtered second voltage dataset for the each cell; calculating an energy score for the each cell based on the second voltage dataset; and calculating a first consistency score for the power battery based on the calculated energy score for the each cell.