Vehicle Start/Stop Control via Operator Customization
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Solution Overview
Problem
Current start/stop technologies in vehicles do not allow for sufficient customer discretion in engine stop execution, leading to customer dissatisfaction, as they are based on predetermined locations and conditions without operator input.
Innovation Solution
A method to adjust start/stop parameters in response to vehicle operator inputs via a human-machine interface, considering geofenced areas, weather, time of day, traffic conditions, and other factors, with the option to use customization data from similar vehicle operators if the driver does not provide input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If start/stop technology is implemented based on predetermined locations, then fuel efficiency is improved, but customer satisfaction deteriorates due to lack of operator discretion
Solution Approach 1:
The system dynamically adjusts start/stop execution based on real-time operator inputs and changing driving conditions. The control system transitions from static predetermined location-based decisions to dynamic condition-responsive decisions, allowing the engine stop execution to be modified based on operator discretion and actual traffic patterns.
Solution Approach 2:
The system incorporates operator feedback through the human-machine interface, where operators can indicate desired start/stop behavior. This feedback loop allows the control system to learn and adapt to operator preferences, adjusting future start/stop execution accordingly while maintaining fuel efficiency benefits.
2Object-generated harmful factors
If start/stop is executed during all eligible stop events, then emissions are reduced, but operator convenience deteriorates due to unwanted engine stops
Solution Approach 1:
The system applies different start/stop execution strategies to different stop events based on local conditions. Rather than uniformly executing start/stop at all predetermined locations, the system evaluates each stop event individually considering operator inputs, traffic conditions, and environmental factors to determine whether engine stop is appropriate.
Solution Approach 2:
The system changes operational parameters of start/stop execution based on varying conditions. Thresholds for engine stop execution, delay timings, and stop duration are dynamically adjusted based on operator preferences, traffic patterns, and environmental conditions to optimize both emissions reduction and operator convenience.
3Device complexity
If predetermined locations are used for start/stop, then system complexity is reduced, but adaptability deteriorates due to inability to respond to changing conditions
Solution Approach 1:
The system pre-determines potential start/stop locations based on map data and historical information, but adds preliminary checks for current operator preferences and real-time conditions before execution. This layered approach maintains the simplicity of predetermined locations while adding adaptability through conditional evaluation.
Solution Approach 2:
The system transitions from static predetermined locations to dynamic condition-responsive execution. While predetermined locations provide a baseline framework, the system continuously adapts execution decisions based on real-time operator inputs, traffic conditions, and environmental factors, enabling responsiveness to changing conditions.
Data Source
AI summary
Methods and systems are provided for a start/stop feature. In one example, a method includes adjusting start/stop conditions in response to a vehicle operator customizing start/stop conditions. The vehicle operator customizes start/stop conditions for a plurality of different driving conditions.