Vehicle Platooning Formation Control for Energy-Aware Reordering
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Solution Overview
Problem
Conventional platooning systems face inefficiencies when determining platoon formations without considering the unique characteristics and destination of each vehicle, leading to reduced efficiency and increased energy consumption.
Innovation Solution
A platooning controller that monitors and adjusts the energy state of each vehicle, recalculates drivable distances based on road information and energy needs, and reorders the platoon formation to minimize energy usage and ensure all vehicles reach their destination efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If platoon formation is determined without considering individual vehicle characteristics and destination, then platooning can be established quickly, but platooning efficiency declines and energy consumption increases
Solution Approach 1:
The system applies local quality by customizing the platoon formation strategy for each individual vehicle based on its specific characteristics (energy state, drivable distance, destination). Each vehicle receives tailored positioning and routing decisions rather than uniform treatment, optimizing energy consumption for each vehicle's specific needs while maintaining overall platoon efficiency.
2Duration of action of moving object
If platoon formation is adjusted frequently based on energy state changes, then cruising range is optimized, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring the energy state of each vehicle in the platoon and using this information to dynamically adjust formation decisions. The controller receives real-time data on energy levels and drivable distances, processes this information, and makes informed adjustments to platoon formation to optimize cruising range while managing system complexity through structured decision-making protocols.
3Adaptability or versatility
If vehicles with different destinations are grouped together in platoon, then platoon formation flexibility increases, but platooning efficiency is reduced
Solution Approach 1:
The system applies segmentation by dividing the platoon into sub-groups or segments based on shared destination criteria. Vehicles with similar destinations are clustered together within the broader platoon structure, allowing the system to maintain overall platoon flexibility while creating efficient sub-formations that maximize platooning benefits for vehicles traveling to the same location.
Data Source
AI summary
A platooning controller includes a processor configured to control platooning based on platooning control vehicle information when platooning vehicles, including one leader vehicle and at least one or more following vehicles, are traveling. The platooning controller is further configured to monitor information associated with an energy state of each of the platooning vehicles while platooning, and to adjust a platoon formation based on a change in the energy state of each of the platooning vehicles. The platooning controller further includes a storage configured to store information obtained to adjust the platoon formation by the processor.