Auto Stop Start Control Using Learned Driving Routes
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Solution Overview
Problem
Existing vehicles with automatic stop/start functions often result in unnecessary engine restarts and stops, leading to decreased fuel economy and increased engine wear, particularly in situations where quick acceleration or turning is required, due to default stop/start logic not accounting for learned driving routes and patterns.
Innovation Solution
A system that selectively disables or inhibits the auto stop or auto start functions based on a learned vehicle route, using sensor inputs and historical data to prevent engine shutdowns or startups in specific locations, such as where traffic is encountered or at known parking spots, thereby improving driver satisfaction and fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the auto stop function is enabled to conserve fuel during vehicle stops, then fuel economy is improved, but unnecessary engine restarts occur in situations requiring quick acceleration or turning
Solution Approach 1:
The system performs preliminary learning of driving routes and patterns during normal operation, storing location data and driving behavior information. When the vehicle approaches a learned location where quick acceleration is needed, the system has already prepared by identifying this as a stop-inhibition zone, preventing the engine from shutting down in the first place.
Solution Approach 2:
The system continuously monitors vehicle operation and compares current location and driving patterns against learned routes. When the vehicle approaches a previously identified location requiring quick acceleration or turning, the system receives feedback about this pattern match and automatically adjusts stop/start behavior by disabling auto stop in these specific zones.
2Reliability
If the auto start function is enabled to prepare for subsequent vehicle movement, then vehicle responsiveness is improved, but unnecessary engine restarts occur at parking locations
Solution Approach 1:
The system performs preliminary identification of parking locations by learning from repeated driving patterns and recognizing when the vehicle arrives at a destination. By detecting patterns such as the vehicle stopping at a location and remaining stationary for extended periods, the system prepares in advance to inhibit auto start at these locations.
Solution Approach 2:
The system continuously monitors vehicle operation and compares current location and driving patterns against learned routes. When the vehicle approaches a previously identified parking location, the system receives feedback about this pattern match and automatically adjusts stop/start behavior by disabling auto start in these specific zones.
3Device complexity
If the stop/start system operates with default logic, then simple control is maintained, but the system cannot adapt to learned driving routes and patterns
Solution Approach 1:
The system performs self-learning by automatically monitoring and storing driving route information and patterns during normal operation. No manual programming or user intervention is required - the system serves itself by gathering data, identifying patterns, and automatically adapting stop/start control logic to the driver's specific routes and behaviors over time.
Solution Approach 2:
The system transitions from static, fixed control logic to dynamic, adaptive control. The stop/start zones are not predetermined but are dynamically created and updated based on the vehicle's actual driving patterns and routes, allowing the system to flexibly adapt to changing driving behaviors and new routes.
Data Source
AI summary
A method or system for controlling a vehicle having auto stop and auto start functions includes selectively inhibiting or disabling the auto stop or auto start functions in response to a detected vehicle position relative to an automatically learned vehicle route. The vehicle route is learned in response to previous drive cycles.