Battery Pack Current Sensing for Fault Source Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems face challenges in distinguishing between connection failures of power storage modules and sensor abnormalities, making it difficult to accurately detect and address such issues.
Innovation Solution
The proposed abnormality detection system performs two levels of abnormality determination: first, based on the difference between the sum of detection values of sensors in power storage modules and a detection value of a sensor in the vehicle body; second, based on the deviation among detection values of the sensors in the power storage modules. This system allows for precise identification of connection failures and sensor abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used to detect current values in power storage modules, then the device complexity is reduced, but the ability to distinguish between connection failures and sensor abnormalities deteriorates
Solution Approach 1:
The system divides the detection function into two separate sensor groups: first sensors in the vehicle body for detecting total current, and second sensors in each power storage module for detecting individual module currents. This segmentation enables independent monitoring of each module, allowing the system to distinguish between connection failures (detected by first sensors) and sensor abnormalities (detected by comparing second sensor readings).
Solution Approach 2:
The control unit acts as an intermediary that processes detection values from multiple sensors and performs comparative analysis. By calculating the sum of second sensor values and comparing it with first sensor values, the control unit mediates between the sensors to identify the type of abnormality, thereby improving detection accuracy without requiring direct intervention from the sensors themselves.
2Measurement precision
If multiple sensors are deployed in each power storage module, then the abnormality detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The system segments sensors into two functional groups with distinct roles: first sensors for total current monitoring and second sensors for individual module monitoring. This segmentation allows each sensor type to perform a specific function, reducing the overall complexity compared to having multiple identical sensors in each module performing the same function.
Solution Approach 2:
The second sensors in each power storage module serve multiple purposes: detecting individual module current values for both abnormality detection and performance monitoring. This multi-functionality reduces the need for additional dedicated sensors, thereby managing device complexity while maintaining high detection accuracy.
3Reliability
If the system performs comprehensive abnormality determination using multiple sensors and comparison methods, then the reliability of abnormality detection is improved, but the processing time and computational complexity increase
Solution Approach 1:
The control unit continuously accumulates and stores detection values from multiple sensors in real-time, performing preliminary data preparation and validation. This preliminary action ensures that when an abnormality occurs, the system can immediately compare pre-stored values without delay, reducing processing time while maintaining comprehensive detection reliability.
Solution Approach 2:
The system implements continuous feedback loops where detection values are constantly monitored, compared, and used to update the abnormality detection state. This real-time feedback mechanism allows the system to quickly identify abnormalities as they occur, reducing detection time while maintaining high reliability through continuous verification.
Data Source
AI summary
An abnormality detection system includes a vehicle and an abnormality detection device. The vehicle body 0 includes a current sensor (first sensor). Each of the plurality of battery packs (power storage modules) includes a current sensor (second sensor). The abnormality detection device performs abnormality determination based on a difference between the sum of the detection values of the current sensors of the plurality of battery packs and the detection value of the current sensor, and performs abnormality determination based on a deviation between the detection values of the current sensors of the plurality of battery packs.