Electric Drive Health Monitoring Using Temperature Residuals
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Solution Overview
Problem
The existing vehicle diagnostics solutions for electric drive systems require additional, costly sensors, and are limited by the reliability of high-precision sensors and strong coupling between hardware and software, making it difficult to implement upgrades.
Innovation Solution
A control method that uses correlation matrix models to determine the health of electric drive system components based on vehicle control parameters and temperature measurements, decoupling hardware from diagnostics and allowing for data-driven monitoring without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional diagnostics sensors are introduced to monitor failures of electric drive system components, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The existing temperature sensor serves dual purposes: normal temperature monitoring and diagnostic monitoring. By processing existing sensor data through correlation matrix models, the system extracts diagnostic information without requiring additional dedicated diagnostics sensors, thus achieving self-service diagnostics.
Solution Approach 2:
The temperature sensor is made multi-functional by using it for both standard temperature monitoring and component health diagnostics. The correlation matrix model enables the same sensor data to serve multiple diagnostic purposes for different components (inverter, motor, controller), achieving universal monitoring capability.
2Measurement precision
If high-precision diagnostics sensors are used, then measurement precision is improved, but reliability deteriorates due to limited full-period monitoring capability
Solution Approach 1:
The patent uses standard, readily available temperature sensors rather than expensive high-precision specialized sensors. These standard sensors can perform reliable full-period monitoring, avoiding the reliability limitations of high-precision sensors while maintaining adequate diagnostic precision through data processing.
3Device complexity
If conventional monitoring solutions with strong hardware-software coupling are used, then device complexity is reduced, but adaptability deteriorates due to difficulty in implementing upgrades
Solution Approach 1:
The diagnostic system is segmented into independent modules: data acquisition from existing sensors, correlation matrix model processing, and diagnostic output. This modular architecture allows the software algorithms to be upgraded independently without changing hardware, achieving high adaptability while maintaining simple device structure.
Data Source
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AI summary
The disclosure relates to the field of vehicle technologies, and specifically, to a control method and system for a vehicle, a vehicle-mounted control device, and a vehicle. To resolve a problem that costs increase because an existing vehicle needs to be equipped with an additional diagnostics sensor to carry out health diagnosis of an electric drive system, the vehicle in the disclosure is provided with an electric drive system, and the control method for a vehicle in the disclosure includes: substituting an obtained vehicle control parameter of the vehicle into a preset first correlation matrix model to obtain a temperature, namely, a first temperature value, of a component; obtaining an actual temperature, namely, a second temperature value, of the component of the electric drive system; calculating a difference between the second temperature value and the first temperature value to obtain a temperature residual value; and determining health of the component of the electric drive system based on the temperature residual value. Through the use of a temperature sensor required in protection of the electric drive system and without introducing an additional diagnostics sensor, a diagnostics system has zero hardware cost. A health status of the component of the electric drive system is determined based on different thermal performance of the component and based on the same vehicle control parameter.