Battery Temperature Estimation Using Sensor Feedback and Thermal Models
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Solution Overview
Problem
Existing temperature estimation methods for energy storage elements, such as lithium ion batteries, lack a calibration method when simulated temperatures differ from sensor measurements, and require temperature detection means for each element, increasing manufacturing costs.
Innovation Solution
An estimation device and method that utilizes a temperature sensor to measure heat transfer points and employs an observer to estimate temperatures at unmeasured positions using a state equation simulating heat conduction and an observation equation, with a Kalman filter for robust estimation, allowing temperature distribution estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature detection means is provided for each energy storage element to detect the temperature of each element, then the temperature measurement accuracy is improved, but the manufacturing cost increases
Solution Approach 1:
The patent creates a thermal field model that copies the thermal behavior of the entire energy storage device based on measurements from a single temperature sensor. The model replicates temperature distribution patterns across all elements without requiring physical sensors at each location, thereby achieving accurate temperature monitoring while reducing sensor quantity and manufacturing cost
Solution Approach 2:
The patent introduces a thermal field model as an intermediary between the single temperature sensor and the multiple energy storage elements. This model acts as a mediator that infers temperatures of unmeasured elements based on the measured temperature and thermal conduction relationships, eliminating the need for direct measurement at each element while maintaining measurement accuracy
2Ease of manufacture
If a single temperature sensor is used to estimate temperatures of multiple elements through simulation, then the manufacturing cost is reduced, but the measurement precision deteriorates when simulated temperatures differ from actual temperatures
Solution Approach 1:
The patent implements a feedback mechanism where the thermal field model continuously compares its simulated temperature estimates with actual temperature measurements from the sensor. The model uses this feedback to calibrate and adjust its parameters, ensuring that simulated temperatures converge with actual measured temperatures, thereby maintaining high estimation accuracy while using minimal sensors
Solution Approach 2:
The patent dynamically adjusts thermal field model parameters based on operating conditions and measured temperature data. By changing parameters such as thermal conductivity coefficients and heat generation rates according to actual device behavior, the model maintains accurate temperature estimation across varying conditions without requiring additional sensors
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately estimates temperatures at unmeasured positions while reducing the need for individual temperature sensors, thereby lowering manufacturing costs and improving temperature distribution accuracy.
Implementation Method 1
a temperature sensor that measures a temperature at a specific position to which heat generated from an energy storage device is transferred
Implementation Method 2
a state equation simulating heat conduction in the energy storage device
Data Source
AI summary
This estimation device is provided with: an acquiring unit which acquires a measurement result from a temperature sensor for measuring temperature at a specific location to which heat generated by an electrical storage device is transmitted; and an observer which, in accordance with input of the measurement result, estimates the temperature at a location where the temperature sensor has not performed measurement.