Autonomous Driving Route Control With Integrated Charging Strategy

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Solution Overview

Problem

Conventional autonomous driving technologies do not include a strategy for fuel charging, leaving vehicles without a plan for refueling during autonomous operations.

Innovation Solution

An autonomous driving control system that includes a processor, navigation, and driving controller, which estimates the charging amount of a vehicle's power source, sets a driving route, searches for charging stations, and determines a charging strategy to optimize fuel economy, cost, or time, allowing the vehicle to control its route and charging based on these calculations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If autonomous driving control system includes charging strategy, then fuel economy is optimized, but device complexity increases

Engineering Contradiction:
Improvefuel economyVSAvoiddevice complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The navigation system and driving controller are merged into an integrated autonomous driving control system. The processor combines route planning, charging station search, and charging strategy determination functions into a single unified system, allowing fuel economy optimization without requiring separate complex subsystems.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The processor is designed with multi-functionality, handling both navigation route planning and charging strategy determination. The same processor that calculates optimal driving routes also estimates charging amounts, searches for charging stations, and determines charging strategies, eliminating the need for dedicated separate devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Loss of energy

If charging strategy is determined based on multiple parameters, then charging cost is minimized, but calculation time increases

Engineering Contradiction:
Improvecharging costVSAvoidcalculation time
Core Design Contradiction:
Loss of energyVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-storing cost information of multiple charging stations and pre-calculating expected fuel economy based on different driving routes. When determining the charging strategy, the processor quickly retrieves this pre-stored information and performs straightforward comparisons, minimizing real-time calculation time while still considering multiple parameters.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12005929B2Autonomous driving control system and method of vehicle
Publication Date: 2024.06.11 HYUNDAI MOBIS CO LTD
  • US12005929B2 patent drawing
  • US12005929B2 patent drawing
  • US12005929B2 patent drawing

AI summary

An autonomous 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 of a vehicle. The navigation is configured to set a driving route based on a destination and to 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 based on the estimated charging amount of the power source, the driving route set by the navigation, and the searched charging station. The driving controller is configured to control driving of the vehicle based on the driving route set by the navigation and the determined charging strategy.