Power Battery Health Evaluation Using Force and Temperature Sensing
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Solution Overview
Problem
Existing technologies cannot effectively monitor and detect unsafe conditions such as overcharge, over-discharge, short circuit, extrusion, and overheating in lithium batteries, which affects the stability and safety of the battery.
Innovation Solution
A power battery system that includes expansion force sensors, temperature sensors, and internal resistance sensors, all electrically connected to the battery cells, to collect and evaluate data on expansion forces, temperatures, and internal resistances, thereby assessing the health status of the battery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors (expansion force sensor, temperature sensor, internal resistance sensor) are added to monitor battery safety, then the reliability and safety monitoring capability is improved, but the device complexity increases
Solution Approach 1:
The battery monitoring system is segmented into three independent sensor modules: expansion force sensor, temperature sensor, and internal resistance sensor. Each sensor independently monitors a specific parameter, allowing the system to achieve comprehensive safety monitoring while maintaining modularity and manageable complexity through functional segmentation.
2Measurement precision
If real-time monitoring of multiple battery parameters is implemented, then the safety status detection capability is improved, but the loss of energy increases due to continuous sensor operation and data processing
Solution Approach 1:
The system implements periodic monitoring of battery parameters through the sensor network, rather than continuous monitoring. The sensors collect data at predetermined time intervals, which reduces energy consumption while still maintaining effective safety monitoring and accurate health assessment through regular periodic measurements.
3Measurement precision
If comprehensive sensor data collection and evaluation system is implemented, then the health status evaluation accuracy is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The data processing system is segmented into modular evaluation units, each responsible for processing data from specific sensors and evaluating particular aspects of battery health. This modular segmentation allows for accurate comprehensive evaluation while keeping individual processing components simple and manageable.
Solution Approach 2:
The sensor system and processing unit are designed with multi-functionality to handle multiple battery parameters (expansion force, temperature, internal resistance) and perform various evaluation tasks (safety monitoring, health assessment, fault detection) through a single integrated platform, reducing overall system complexity despite comprehensive monitoring capabilities.
Data Source
AI summary
A temperature sensor, a battery, a battery pack and a health detecting method thereof, an evaluating method, and a monitoring system are provided. The data transmitting channel in the system is connected to the temperature collecting device, the stress collecting device and the data processing device respectively. The data processing device is configured to receive the temperature information collected by the temperature collecting device and the stress information collected by the stress collecting device, and determine the working health status of the battery according to temperature information and the stress information.