Autonomous Vehicle Parking Control for In-Car Temperature Management
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Solution Overview
Problem
Autonomous vehicles face challenges in maintaining optimal in-car temperature during parking, which affects user comfort and fuel efficiency, as existing systems lack the ability to adaptively control temperature based on environmental conditions and destination or re-riding time.
Innovation Solution
An apparatus and system that includes sensors to gather environmental data, a communication device for connecting with a control server, and a controller to perform autonomous driving and parking to optimal positions, adjusting temperature to a desired target using internal air conditioning, minimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the autonomous vehicle maintains air conditioning during parking to keep in-car temperature comfortable, then user comfort is improved, but fuel efficiency deteriorates due to continuous energy consumption
Solution Approach 1:
The system performs preliminary actions by selecting an optimal parking position with favorable environmental conditions (such as shaded areas or locations with natural temperature regulation) before parking. This preliminary selection reduces or eliminates the need for continuous air conditioning operation, thereby maintaining user comfort while improving fuel efficiency during the parking period
Solution Approach 2:
The system leverages natural environmental conditions (such as shade from trees, building structures, or natural ventilation) to self-regulate the in-car temperature. By parking in positions that provide natural temperature control, the vehicle utilizes external environmental services rather than relying solely on its own air conditioning system, reducing energy consumption while maintaining comfort
2Use of energy by moving object
If the autonomous vehicle moves to a different parking position to optimize temperature, then fuel efficiency is improved by reducing air conditioning usage, but device complexity increases due to additional control operations
Solution Approach 1:
The control server receives environmental information from the parking position, calculates the expected in-car temperature based on this data, and uses this feedback to determine the optimal parking position. This feedback mechanism enables the system to make intelligent decisions about parking location selection that balance fuel efficiency with operational simplicity
Solution Approach 2:
The system performs a limited number of control operations focused specifically on parking position selection and temperature prediction, rather than continuously adjusting multiple vehicle parameters. This partial action approach addresses the temperature optimization problem through a targeted, simplified control strategy that reduces overall system complexity
3Manufacturing precision
If the system calculates expected in-car temperature based on environmental information to select optimal parking position, then temperature control precision is improved, but measurement and detection difficulty increases
Solution Approach 1:
The control server acts as an intermediary that receives environmental information from various sources, processes this data through temperature calculation algorithms, and provides parking position recommendations. This intermediary approach simplifies the measurement and detection tasks by centralizing the data processing and temperature prediction functions in a dedicated computational system
Solution Approach 2:
The system performs preliminary temperature calculations and environmental analysis before the vehicle parks. By pre-calculating the expected in-car temperature based on environmental information from potential parking positions, the system eliminates the need for complex real-time measurements during parking, reducing measurement difficulty while maintaining temperature control precision
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
Provides user comfort by maintaining in-car temperature close to a desired level, optimizing fuel efficiency by reducing unnecessary air conditioning, and enhancing user satisfaction upon re-entry.
Implementation Method 1
adjusting temperature to a desired target using internal air conditioning
Data Source
AI summary
An apparatus, a system, and a method for controlling an in-car temperature of an autonomous vehicle are provided. The control server determines an expected in-car temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of an autonomous vehicle, selects an optimal parking position or a temporary parking position based on the expected in-car temperature and an outdoor air temperature according to the re-riding time, transmits information about the optimal parking position or the temporary parking position to the autonomous vehicle. The controller of the autonomous vehicle is configured to perform autonomous driving and autonomous parking depending on the information about the optimal parking position or the temporary parking position, recognizes a voice of a user, determines autonomous driving related control corresponding to the voice of the user, and performs the autonomous driving related control corresponding to the voice of the user.