Vehicle Powertrain Control via Driving Style Fuzzy Logic
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Solution Overview
Problem
Existing automotive vehicles face inefficiencies in fuel economy due to the inability to effectively adapt motive power systems to varying traffic conditions, leading to increased emissions and reduced fuel efficiency, especially in congested areas where frequent stops and starts occur.
Innovation Solution
A method for controlling a vehicle's motive power system by determining the acceleration/deceleration history and driving style, using a fuzzy controller to optimize engine start/stop behavior and powertrain operations based on traffic conditions, thereby improving fuel economy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation system and distance sensor are used to determine congested area, then traffic condition detection accuracy is improved, but vehicle cost and weight increase
Solution Approach 1:
The patent extracts the essential function of traffic condition detection from complex external sensors (navigation system and distance sensor) and implements it through simplified means using existing vehicle data (accelerator pedal, brake pedal, vehicle speed) to determine driving style and traffic conditions, thereby eliminating the need for additional expensive and heavy equipment
Solution Approach 2:
The vehicle uses its own existing sensors and data (accelerator pedal position, brake pedal position, vehicle speed) to self-determine traffic conditions and driving style, eliminating the need for external navigation systems and distance sensors. The vehicle's control system serves itself by processing its own operational data to make intelligent decisions
2Use of energy by moving object
If engine start/stop behavior is optimized based on traffic conditions, then fuel economy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary determination of driving style and traffic conditions based on acceleration/deceleration history before making engine start/stop decisions. By pre-analyzing the driver's behavior patterns and traffic conditions, the system can proactively optimize engine operations, allowing the engine to remain off longer in congested areas and reducing unnecessary start-ups, thereby improving fuel economy without requiring complex real-time decision-making mechanisms
Data Source
AI summary
A motive power system of a vehicle is controlled based on a driving style of a driver of the vehicle. Parameters related to a state of the vehicle are used as inputs to a fuzzy controller in order to characterize the driving style of the driver of the vehicle.