Platoon Driving Route and Charging Strategy Coordination
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Solution Overview
Problem
Conventional autonomous driving technologies do not incorporate a strategy for fuel charging, leaving vehicles without a plan for refueling during autonomous trips.
Innovation Solution
A platoon driving control system that includes a processor, navigation, and driving controller, which estimates charging needs, sets routes, searches for charging stations, and determines optimal charging strategies to minimize cost and time, integrating input from users and vehicle data to control vehicle arrangements and driving routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional autonomous driving technology is used without charging strategy, then autonomous driving function is provided, but fuel charging management is lacking causing incomplete driving strategy
Solution Approach 1:
The patent combines the charging strategy module with the autonomous driving control system, integrating fuel charging management functions into the existing driving strategy. The processor executes both driving control and charging strategy determination, merging these functions into a unified system that manages both autonomous driving and fuel charging coordination.
Solution Approach 2:
The driving controller is designed to perform multiple functions: it controls autonomous driving operations and simultaneously manages charging strategy determination. The system uses shared components (processor, navigation, sensors) for both driving control and charging management, making the system multi-functional without requiring entirely separate subsystems.
2Adaptability or versatility
If charging strategy is added to autonomous driving system, then charging management capability is improved, but system complexity increases
Solution Approach 1:
The system determines charging strategies in advance by estimating future fuel levels and identifying required charging amounts before actual charging needs arise. The processor calculates charging requirements based on predicted driving distances and current fuel states, allowing the system to plan charging stops proactively rather than reactively, simplifying real-time control decisions.
Solution Approach 2:
The system continuously monitors fuel level, driving distance, and charging station information, using this feedback to adjust and optimize charging strategies. The processor receives ongoing data from sensors and navigation, compares actual fuel consumption against predictions, and dynamically modifies charging plans to maintain optimal fuel management while adapting to changing driving conditions.
Data Source
AI summary
A platoon driving control system of a vehicle includes a processor, a navigation, and a driving controller communicatively connected to one another. The processor is configured to estimate a charging amount of a power source that drives a driving device or an available driving distance of each vehicle included in a platoon. The navigation is configured to set a driving route based on a destination of the platoon and search for a charging station for the power source based on the set driving route. The processor is further configured to determine a charging strategy of the power source of the platoon based on the charging amount or the available driving distance of each vehicle, the driving route set by the navigation, and the searched charging station. The driving controller is configured to control driving of the platoon based on the driving route set by the navigation and the charging strategy.