Variable Universe Fuzzy PID Vehicle Temperature Control
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Solution Overview
Problem
Conventional temperature control methods in vehicles, such as PID and fuzzy control, face challenges with non-linearity, hysteresis, and low control accuracy due to the complexity of environmental temperature systems, leading to inadequate passenger comfort, especially for vulnerable groups like children and the elderly.
Innovation Solution
A variable universe fuzzy PID control method is employed, combining multiple temperature detection points to calculate average temperature differences and using a hybrid control algorithm that adjusts parameters dynamically based on temperature differences and change rates, enhancing control accuracy and responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single temperature sensor is used to detect and control the temperature of a local space, then the device complexity is reduced, but the manufacturing precision (control accuracy) deteriorates
Solution Approach 1:
The patent divides the vehicle interior into multiple temperature detection zones with separate temperature sensors positioned in different regions (front passenger compartment, rear passenger compartment, driver area). This segmentation allows independent temperature monitoring of each zone, enabling more accurate overall temperature control while maintaining reasonable device complexity through modular sensor placement.
2Device complexity
If conventional PID or fuzzy control algorithms are used, then the control system is simpler to implement, but the manufacturing precision (control accuracy) deteriorates due to non-linearity and hysteresis
Solution Approach 1:
The patent implements a dynamic control algorithm that continuously adjusts control parameters based on real-time temperature data from multiple sensors. The system dynamically determines temperature differences between zones and adjusts cooling/heating output accordingly, adapting to changing thermal conditions and resolving the non-linearity and hysteresis issues that plague conventional static control algorithms.
Solution Approach 2:
The system employs multi-point temperature feedback from distributed sensors throughout the vehicle interior. This feedback mechanism continuously monitors temperature variations in different zones and feeds this information back to the control unit, which then adjusts the air conditioning output to maintain uniform temperature distribution, effectively compensating for non-linear system behavior.
3Measurement precision
If multiple temperature detection points are used, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent applies local quality by placing temperature sensors in specific strategic locations within the vehicle interior (front and rear passenger compartments, driver area) rather than uniformly distributing them. Each sensor monitors the thermal characteristics of its local zone, and the control system processes these localized measurements to achieve overall temperature uniformity, balancing measurement precision with device complexity.
Data Source
AI summary
Disclosed is a temperature control method which includes acquiring temperature data of a plurality of temperature detection points in a target environment; calculating, according to the temperature data, an average temperature value of the plurality of temperature detection points and a first temperature difference between the average temperature value and a target temperature value; determining whether an absolute value of the first temperature difference exceeds a first temperature difference threshold; and in response to the absolute value of the first temperature difference exceeding the first temperature difference threshold, controlling the temperature of the target environment by a variable universe fuzzy proportional integral derivative control algorithm.