Battery Health Diagnosis Using Dynamic Load Profiles
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Solution Overview
Problem
Existing methods for determining the health of rechargeable traction batteries in electric vehicles are time-consuming and often require complex measuring equipment, leading to inefficiencies in assessing battery health.
Innovation Solution
A diagnostic method using a partial charging or discharging process with a variable diagnostic load profile, recorded via a vehicle interface, and analyzed by a computer-implemented estimation algorithm to quickly and accurately determine battery health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete charging cycles are used to determine battery health, then measurement accuracy is improved, but diagnosis time increases significantly
Solution Approach 1:
The patent applies partial action by using only a portion of the battery's capacity (e.g., 20-80% state of charge range) instead of complete charging cycles (0-100%). This partial充放电 process is sufficient to obtain the necessary measurement data for health determination while significantly reducing the time required compared to full cycles.
Solution Approach 2:
The patent uses preliminary action by performing a rest period before the actual measurement phase to ensure the battery is in a stable initial state. This preliminary stabilization allows for accurate baseline measurements without requiring complete charging cycles, thus reducing overall diagnosis time while maintaining accuracy.
2Measurement precision
If complex measuring equipment like impedance spectroscopy instruments is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by using the battery management system (BMS) already present in the electric vehicle to perform measurements. The BMS continuously monitors voltage, current, and temperature during normal operation, eliminating the need for external complex measuring equipment like impedance spectroscopy instruments while maintaining measurement accuracy.
Solution Approach 2:
The patent makes the battery management system multi-functional by using it not only for its primary function of managing battery operation but also for health determination. This universal approach allows the same system to serve multiple purposes, avoiding the need for separate complex diagnostic equipment.
3Measurement precision
If large amounts of measurement data are collected repeatedly, then measurement precision is improved, but diagnosis time increases
Solution Approach 1:
The patent applies preliminary action by performing offline calculations to determine equivalent circuit model parameters before actual health determination. These pre-calculated parameters are stored and can be quickly applied during diagnosis, eliminating the need for repeated online calculations and large amounts of real-time data collection, thus improving diagnosis speed while maintaining accuracy.
Solution Approach 2:
The patent uses a dynamic approach by adapting the measurement process to the specific battery state and requirements. Instead of collecting fixed large amounts of data repeatedly, the system dynamically adjusts the measurement strategy based on available information, using only the necessary minimum data for accurate health determination, thereby improving productivity.
Data Source
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AI summary
The invention relates to techniques that are used to determine the health status of a battery based on a dynamically adapted diagnostic load profile.