Vehicle Heat Exchanger Deicing via Performance Degradation Detection
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Solution Overview
Problem
Electric vehicles face challenges in detecting ice buildup on heat exchangers due to refrigerant temperature drops below freezing, leading to performance degradation, which is difficult to measure effectively and often results in unnecessary energy consumption through periodic deicing.
Innovation Solution
A thermal control system that monitors refrigerant loop conditions using a pre-calibrated model, such as an artificial neural network, to estimate performance degradation and initiates deicing only when a predetermined threshold is exceeded, reducing unnecessary deicing by accounting for environmental conditions and long-term performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic deicing is performed to prevent ice buildup on the heat exchanger, then reliability is improved, but energy consumption increases unnecessarily
Solution Approach 1:
The system implements feedback control by continuously monitoring heat exchanger performance parameters (refrigerant temperatures, pressures, and flow rates) and comparing actual performance against expected performance to detect ice buildup conditions. Deicing is triggered only when performance degradation exceeds a threshold, eliminating unnecessary periodic deicing while maintaining reliability.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting deicing activation from fixed periodic intervals to variable conditions-based triggering. Performance degradation is calculated by comparing multiple parameters (refrigerant inlet/outlet temperatures, pressures, airflow rates) against expected values, and deicing is activated only when the degradation exceeds a predetermined threshold.
2Measurement precision
If ice buildup detection is performed continuously to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses existing refrigerant loop components (sensors, controllers) as intermediaries to detect ice buildup indirectly through performance parameter monitoring rather than directly detecting ice presence. The controller compares actual performance against expected performance calculated from monitored parameters, providing accurate ice detection without adding specialized detection hardware.
Solution Approach 2:
The existing refrigerant loop sensors and controller are made multi-functional by using them for both normal operational control and ice buildup detection. The same temperature and pressure sensors used for refrigerant management also provide data for calculating performance degradation and detecting ice conditions, eliminating the need for separate detection systems.
3Reliability
If deicing is performed based on fixed schedules to ensure heat exchanger functionality, then reliability is improved, but loss of time occurs due to unnecessary deicing operations
Solution Approach 1:
The system transitions from static fixed-schedule deicing to dynamic condition-based deicing activation. The deicing operation is triggered dynamically based on real-time performance degradation calculations that consider current environmental conditions, refrigerant flow rates, and heat exchanger operating parameters, eliminating time loss from unnecessary operations.
Solution Approach 2:
The system performs preliminary performance assessment by continuously monitoring and comparing actual heat exchanger performance against expected performance before triggering deicing. This preliminary detection of ice buildup conditions allows deicing to be activated only when necessary, preventing time loss from premature or unnecessary deicing operations.
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
The system efficiently detects performance degradation and initiates deicing only when necessary, minimizing energy waste and improving thermal performance by avoiding periodic deicing based on environmental conditions.
Implementation Method 1
a heat exchanger configured to extract heat from ambient air to heat a refrigerant
Implementation Method 2
a compressor configured to circulate a refrigerant through the refrigerant loop
Implementation Method 3
the refrigerant can flow in a two-phase state
Implementation Method 4
a refrigerant loop operable between a cooling mode and a heat pump mode
Data Source
AI summary
A thermal system includes a refrigerant loop operable between a cooling mode and a heat pump mode, a compressor, and a heat exchanger. A thermal control system includes a controller programmed to monitor one or more conditions of the refrigerant loop related to an operational performance of the heat exchanger; estimate, via a pre-calibrated model of the thermal system, an expected operational performance of the heat exchanger when ice is not present and during the monitored one or more conditions; determine an instantaneous operational performance of the heat exchanger based on the monitored one or more conditions; compare the instantaneous operational performance to the expected operational performance to determine a performance degradation of the heat exchanger; and initiate a deicing operation of the heat exchanger when the performance degradation exceeds a predetermined threshold.


