Vehicle Battery Temperature Estimation After Sensor Disconnection
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Solution Overview
Problem
Conventional battery management systems (BMS) fail to limit battery discharge effectively when a temperature sensor disconnects, leading to accelerated battery deterioration due to incorrect temperature readings.
Innovation Solution
A device and method that utilize big data to estimate the temperature at a failed temperature sensor by calculating the average difference between highest and lowest temperatures and identifying the most frequent temperature sensor measurements, allowing for accurate battery discharge management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the BMS relies on temperature sensor readings to manage battery discharge, then battery safety can be maintained under normal conditions, but when a temperature sensor fails (disconnection), the BMS cannot accurately detect the actual temperature, leading to incorrect discharge management decisions
Solution Approach 1:
The system pre-calculates and stores the average difference between maximum and minimum temperatures from historical data before sensor failure occurs. This preliminary action enables the BMS to estimate the failed sensor's temperature reading using remaining functional sensors and the pre-stored average difference, maintaining accurate temperature management even when one sensor fails
Solution Approach 2:
When a temperature sensor fails, the system creates an estimated copy of the failed sensor's reading by adding the average temperature difference to the readings of remaining functional sensors. This copied temperature value allows the BMS to continue accurate discharge management without the failed sensor
2Measurement precision
If multiple temperature sensors are arranged at different locations of the battery, then temperature monitoring coverage is improved, but when one sensor disconnects, the system lacks redundancy to compensate, resulting in accelerated battery deterioration
Solution Approach 1:
The system continuously monitors temperature sensor readings and uses feedback from functional sensors to detect when another sensor has failed. Upon detection, the BMS automatically switches to estimation mode using the average temperature difference stored in memory, ensuring continuous reliable temperature management despite sensor failures
Solution Approach 2:
When a sensor failure is detected, the system changes its operational parameters from direct reading mode to estimation mode. It retrieves the average temperature difference parameter from memory and applies it to calculate the failed sensor's temperature, maintaining system reliability through parameter adaptation
Data Source
AI summary
A device and a method for managing batteries of a vehicle are disclosed. The device may include: batteries arranged in a vehicle, a plurality of temperature sensors mounted at different locations of the batteries, and a controller that, when a failure occurs at an arbitrary temperature sensor among the plurality of temperature sensors, estimates a temperature value at the failed temperature sensor using big data, and controls discharge of the batteries based on the estimated temperature value.