Path Providing Device for Engine Idle Stop and Go Control
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Solution Overview
Problem
Current vehicle systems lack an efficient method to optimize resource management and reduce CO2 emissions while providing autonomous driving visibility information, particularly in managing engine operation based on dynamic conditions such as traffic and road characteristics.
Innovation Solution
A path providing device that receives map information and sensing data from sensors, identifies the vehicle's lane, determines an optimal path, generates autonomous driving visibility information, and controls the engine based on dynamic information, including the presence of movable objects and traffic signals, to implement an Idle Stop and Go function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the engine operates continuously to ensure vehicle availability, then reliability is improved, but energy consumption increases and CO2 emissions worsen
Solution Approach 1:
The system performs preliminary actions by predicting future traffic conditions, road gradients, and congestion levels using map information and sensing data. This allows the engine control to anticipate stop-and-go scenarios and prepare accordingly, shutting down the engine in advance when stopping is certain, thus reducing energy consumption while maintaining vehicle availability when needed.
Solution Approach 2:
The system implements feedback by continuously monitoring traffic conditions, vehicle state, and environmental factors through sensors and map data. This feedback loop enables dynamic adjustment of engine operation, comparing predicted conditions with actual state to optimize the timing of engine shutdown and restart, balancing reliability and energy efficiency.
2Use of energy by moving object
If the engine is shut off to reduce CO2 emissions, then energy consumption is improved, but vehicle responsiveness deteriorates
Solution Approach 1:
The system performs preliminary actions by predicting upcoming traffic light changes, congestion patterns, and road conditions using map information and real-time sensing. This allows the engine to be shut off proactively during predictable idle periods, reducing emissions without impacting responsiveness when the vehicle needs to move, as the system anticipates when acceleration will be required.
Solution Approach 2:
The system uses feedback from sensors and map data to continuously monitor traffic conditions and vehicle state. This enables dynamic adjustment of engine shutdown timing, ensuring the engine restarts in advance when responsiveness is needed while maintaining shutdown during periods when the vehicle will remain stationary, thus balancing energy efficiency and responsiveness.
3Use of energy by moving object
If complex path planning and engine control are implemented, then fuel efficiency is improved, but device complexity increases
Solution Approach 1:
The system applies multi-functionality by integrating multiple functions into the existing vehicle controller. The controller simultaneously performs path planning, traffic condition analysis, engine management, and sensor data processing using a unified algorithm framework. This approach achieves improved fuel efficiency through complex control logic without proportionally increasing device complexity, as the same hardware platform executes multiple functions.
4Measurement precision
If real-time sensing and map data processing are performed, then path accuracy is improved, but computational load increases
Solution Approach 1:
The system extracts and processes only the essential and relevant features from map information and sensor data. Instead of processing all available data, the system selectively extracts critical path information, traffic conditions, and environmental factors needed for engine control decisions. This reduces computational load while maintaining path accuracy by focusing processing power on the most impactful data elements.
Data Source
AI summary
A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive map information from a server, the map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, the sensing information including an image received from an image sensor, and a processor configured determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information and transmit the generated autonomous driving visibility information based on the sensing information and the determined optimal path, update the optimal path based on dynamic information related to a movable object located in the optimal path and the autonomous driving visibility information, and control the interface unit to shut off or start an engine of the vehicle based on the autonomous driving visibility information.