EV Battery Current Profiling for Vehicle State Estimation
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Solution Overview
Problem
Existing methods for estimating the state of electric vehicles require different signal types and resolutions, leading to increased cost and time, and there is a need for a standardized approach based on current data and vehicle speed.
Innovation Solution
A vehicle state estimation apparatus using a current sensor and processor to identify charging, stop, driving, and regenerative braking periods by analyzing low-frequency components of the battery pack's current profile, with additional corrections based on vehicle speed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If different signal types and resolutions are collected to estimate vehicle state, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts and focuses on the most critical signal component (current signal) from the complex multi-signal system. By using a current sensor to obtain current profiles and analyzing low-frequency components, the system achieves accurate vehicle state estimation without requiring multiple different signal types and resolutions, thereby reducing device complexity while maintaining measurement precision
Solution Approach 2:
The current signal serves multiple functions in the patent. The same current profile analysis is used to identify charging periods, stop periods, driving periods, and regenerative braking periods. This multi-functional approach eliminates the need for separate signal collection systems for different vehicle states, reducing overall system complexity while maintaining comprehensive state estimation accuracy
2Reliability
If multiple signal types are collected for vehicle state estimation, then reliability of state identification is improved, but loss of time for data collection increases
Solution Approach 1:
The patent extracts the essential information needed for state identification from the current signal's low-frequency components. By focusing on specific frequency ranges and characteristic patterns in the current profile, the system achieves reliable state identification without requiring extensive multi-signal data collection, thereby reducing data collection time while maintaining reliability
Solution Approach 2:
The system performs preliminary analysis of the current profile by extracting low-frequency components before detailed state identification. This preliminary processing prepares the data in advance, enabling faster and more reliable state determination without requiring additional time for multiple signal collections
Data Source
AI summary
A vehicle state estimation apparatus includes a current sensor and a processor, wherein the processor may be configured to obtain a current profile of a battery pack of a vehicle via a current sensor, extract a low-frequency component of a predetermined frequency or less from the current profile, and estimate a first flat section in which a current value in the low-frequency component is equal to or greater than a first predetermined current value and a change in current is maintained less than or equal to a first threshold value over a predetermined period of time as a charging period of the battery pack.