Vehicle Queue Control via Switching Graph for Fuel Economy
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Solution Overview
Problem
The fuel economy of vehicles in a queue is poor while maintaining stability, necessitating an improvement.
Innovation Solution
A method and device for controlling a vehicle in a queue, utilizing a vehicle-following subsystem model based on relative speed and distance error to determine acceleration control values through a switching control graph, enabling periodic switching between minimum fuel consumption and idle points to optimize fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional vehicle control methods are used to maintain stability in a vehicle queue, then the stability of the vehicle queue is ensured, but the fuel economy is poor
Solution Approach 1:
The patent implements periodic switching between minimum fuel consumption operating points and idle points based on a switching control graph. The control system periodically adjusts the vehicle's acceleration commands to switch between different operating modes, allowing the engine to operate at economically optimal points while maintaining vehicle queue stability through coordinated control of multiple vehicles.
Solution Approach 2:
The patent employs dynamic switching control where the vehicle-following subsystem model adapts its operating points in real-time based on changing conditions. The switching control graph dynamically determines when to transition between minimum fuel consumption points and idle points, allowing the system to respond to varying traffic conditions while optimizing fuel economy across the vehicle queue.
2Loss of energy
If the engine operates continuously at minimum fuel consumption point, then fuel economy is optimized, but the vehicle cannot respond adequately to changing traffic conditions
Solution Approach 1:
The control system implements periodic switching between minimum fuel consumption operating points and idle points according to the switching control graph. This periodic action allows the engine to spend most time at economically optimal operating points while periodically transitioning to idle points to maintain readiness for traffic condition changes, thus balancing fuel economy with adaptability.
Solution Approach 2:
The vehicle-following subsystem model automatically determines when to switch between operating points based on the switching control graph and current system state. The system self-regulates its operation to maintain fuel efficiency while having the capability to rapidly respond to traffic conditions through automated switching between pre-determined operating modes.
Data Source
AI summary
The present disclosure provides a method and a device for controlling a vehicle. The vehicle is in a vehicle queue, the vehicle queue includes n vehicles {vehicle 0, vehicle 1, . . . , vehicle n−1} arranged in order along a traveling direction, the method is performed by a computing device of the vehicle i, i is from 1 to n−1. A vehicle-following subsystem model is established based on the relative speed and the relative vehicle distance error between the vehicle i and a vehicle i−1, and the acceleration of the vehicle i, a state trajectory of the vehicle-following subsystem model on a Δv-ΔR plane is determined, a plurality of division graphs of the vehicle i−1 in a plurality of travelling phases are combined to obtain a switching control graph for the vehicle i, and the travelling phase of the vehicle i is adjusted.