Vehicle Coast Control Using Route-Based Speed Profiles
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Solution Overview
Problem
Existing vehicle propulsion control systems cannot efficiently manage energy consumption by allowing vehicles to coast to a stop, leading to unnecessary energy dissipation through braking, and lack the ability to adjust speed to optimize energy efficiency and operator acceptance.
Innovation Solution
A vehicle propulsion control system that uses machine learning to determine a target speed based on route characteristics, operator behavior, and energy consumption profiles, adjusting torque demand and speed control inputs to optimize energy efficiency while considering operator preferences and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle uses traditional propulsion control systems to maintain desired speed, then the vehicle can achieve stable speed control, but energy consumption increases due to unnecessary braking and inability to coast efficiently
Solution Approach 1:
The system dynamically adjusts the vehicle speed control input based on real-time conditions (route characteristics, operator behavior, energy consumption profiles) to optimize the balance between energy efficiency and speed control. The controller continuously adapts the coasting strategy rather than using fixed control parameters.
Solution Approach 2:
The system changes the vehicle speed control parameter dynamically by determining an adjusted vehicle speed control input that differs from the original input based on energy consumption optimization. This allows the vehicle to coast at optimized speeds that reduce energy consumption while maintaining acceptable operational characteristics.
2Loss of energy
If the vehicle allows coasting to stop to reduce energy dissipation, then energy efficiency improves, but the vehicle may not maintain safe distance from lead vehicle or achieve desired speed
Solution Approach 1:
The system uses feedback from multiple sources including route characteristics, operator behavior patterns, and real-time vehicle state to continuously optimize the coasting control strategy. The controller monitors whether coasting is maintaining safe distances and adjusts the adjusted vehicle speed control input accordingly.
Solution Approach 2:
The system performs preliminary analysis of route characteristics and operator behavior before initiating coasting maneuvers. By predicting future conditions and operator preferences, the system can plan coasting strategies that will maintain safe distances and achieve desired speed targets while minimizing energy dissipation.
3Use of energy by moving object
If the system adjusts speed to optimize energy efficiency, then energy consumption decreases, but operator acceptance and drivability may be compromised
Solution Approach 1:
The system applies partial coasting control by determining an adjusted vehicle speed control input that is modulated based on operator behavior and preferences. Rather than fully implementing aggressive coasting strategies, the system applies optimized coasting that balances energy savings with drivability and operator comfort.
Solution Approach 2:
The system changes the vehicle speed control parameter dynamically by determining an adjusted vehicle speed control input that differs from the original input based on energy consumption optimization. This allows the vehicle to coast at optimized speeds that reduce energy consumption while maintaining acceptable operational characteristics.
Data Source
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AI summary
A method (300) for controlling vehicle propulsion includes identifying (304) at least one route characteristic of a portion of a route being traversed by a vehicle (10). The method (300) further includes determining a profile for a target vehicle speed based on the at least one route characteristic and a vehicle energy consumption profile. The method (300) further includes selectively adjusting a vehicle speed control input based on the target vehicle speed profile. The method (300) further includes communicating the vehicle speed control input to a vehicle propulsion controller to achieve the target vehicle speed profile.