Coasting Guide Control Using Peripheral Vehicle Speed
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Solution Overview
Problem
The existing coasting guide function in vehicles lacks accuracy and reliability due to its failure to consider the average speed of peripheral vehicles, speed limits for different road types, and driving speed characteristics, leading to driver dissatisfaction and reduced usage.
Innovation Solution
A method for controlling the coasting guide function by detecting the speed limit and average speed of peripheral vehicles, calculating a target speed using a speed factor, and determining coasting guide start and transition points based on driver habits, thereby enhancing control accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the coasting guide function uses a predetermined target vehicle speed according to event type without considering peripheral vehicle average speed, then the control system is simple, but the control accuracy and reliability are low and driver satisfaction decreases
Solution Approach 1:
The coasting guide control system implements feedback by continuously monitoring the average speed of peripheral vehicles and using this information to dynamically adjust the target vehicle speed. The controller receives speed information from other vehicles in the vicinity and feeds this back into the coasting guide algorithm, allowing the system to adapt its control strategy based on actual traffic conditions rather than relying solely on predetermined speeds.
Solution Approach 2:
The system transitions from static predetermined target speeds to dynamic target speed adjustment by incorporating real-time peripheral vehicle speed data. The target vehicle speed is no longer fixed but varies dynamically based on the average speed of surrounding vehicles, enabling the coasting guide to adapt to changing traffic conditions and improve control accuracy.
2Reliability
If the coasting guide function does not consider speed limits for different road types, then the control system is simpler, but the driver may step on the brake and release the coasting guide function
Solution Approach 1:
The system applies local quality by tailoring the coasting guide control strategy to different road types and their specific speed limits. Instead of using a uniform control approach, the system adjusts the target vehicle speed and coasting parameters according to the characteristics of the current road segment, such as whether it is a highway, urban road, or curved road, thereby improving reliability and driver acceptance.
Solution Approach 2:
The system changes control parameters dynamically based on road type and speed limit information. When the vehicle enters different road zones with different speed limits, the coasting guide function adjusts its target speed and deceleration profiles accordingly, ensuring that the controlled vehicle speed remains appropriate for the current road conditions and reduces the likelihood of driver intervention.
3Adaptability or versatility
If the coasting guide function uses constant speed control regardless of driver preferences, then the control system is simpler, but drivers with different speed preferences feel the control is inappropriate and may not use the function
Solution Approach 1:
The system performs preliminary action by pre-acquiring and storing driving speed characteristic information for multiple drivers through questionnaires or initial surveys. This driver-specific data is saved in advance and automatically retrieved when the driver uses the coasting guide function, allowing the system to adapt to individual preferences without requiring complex real-time adjustments or driver inputs during operation.
Solution Approach 2:
The coasting guide control system implements self-service by automatically selecting and applying the appropriate driver profile based on stored driving speed characteristics. The system serves itself by autonomously adjusting control parameters according to the identified driver's preferences, eliminating the need for manual driver input or complex interaction during the coasting process.
Data Source
AI summary
A method for controlling a coasting guide function is provided. The method may include: detecting a speed limit and an average speed of a peripheral vehicle; detecting a valid speed limit when a coasting event occurs; and calculating a target speed by using a speed factor computed by using at least one of the valid speed limit, the average speed of the peripheral vehicle, or a current speed.