Adaptive Coasting Guidance for Driver-Specific Fuel Efficiency
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Solution Overview
Problem
Existing methods for guiding drivers to coast at the appropriate time during deceleration events do not account for individual driver tendencies, leading to suboptimal fuel efficiency and potential interference with traffic flow, particularly for defensive or aggressive drivers.
Innovation Solution
A method that detects upcoming deceleration events and determines a personalized coasting guidance time point based on driver-specific characteristics, using a deceleration event detecting device and guidance information controller to adjust the coasting guidance time point according to the driver's tendencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If general coasting guidance is provided without considering driver tendencies, then the guidance system is simple to implement, but fuel efficiency is suboptimal and traffic flow may be interfered with
Solution Approach 1:
The coasting guidance system dynamically adjusts the guidance time point based on detected driver tendencies (defensive, aggressive, or normal driving styles). The controller modifies the basic coasting guidance time point by adding or subtracting time offsets according to the driver's classification, making the system adaptive rather than static.
Solution Approach 2:
The system changes the temporal parameter of coasting guidance by applying different time offsets to the basic guidance time point based on driver tendencies. Defensive drivers receive a positive time offset (earlier guidance), while aggressive drivers receive a negative time offset (later guidance), optimizing fuel efficiency for each driver type.
2Productivity
If coasting guidance time point is adjusted for defensive drivers, then fuel efficiency improves, but the guidance system becomes more complex
Solution Approach 1:
The system incorporates feedback mechanisms by detecting driver tendencies through monitoring driving patterns and behaviors. This feedback loop allows the system to automatically classify drivers and adjust guidance time points accordingly, improving fuel efficiency without requiring manual intervention or complex manual calibration.
Solution Approach 2:
The driver population is segmented into distinct categories (defensive, aggressive, normal) based on driving tendencies. Each segment receives customized coasting guidance time points, allowing the system to optimize for specific driver types while maintaining a relatively simple overall structure through modular classification and adjustment.
3Productivity
If regenerative braking force is used during coasting, then fuel efficiency increases, but deceleration capability is reduced
Solution Approach 1:
The system provides preliminary coasting guidance to drivers, prompting them to release the accelerator pedal at optimized time points before actual deceleration is needed. This preliminary action allows the vehicle to coast using inertia and regenerative braking, maximizing fuel efficiency while maintaining sufficient deceleration capability through the timing of the guidance intervention.
Data Source
AI summary
A method of guiding a coasting time point of a vehicle includes steps of detecting occurrence of an upcoming deceleration event, determining driver's coasting characteristics for each deceleration event based on information of the detected occurrence of an upcoming deceleration event and a vehicle driving state, and determining a coasting guidance time point based on a determined result of coasting characteristics corresponding to a type of the detected deceleration event. The method provides, to a driver, information of a time point at which the driver needs to release an accelerator pedal operation, in order to begin coasting at an appropriate time point when a deceleration situation is assumed to lie ahead.