Hybrid Vehicle Driving Mode Control Using Dynamic Traffic Data
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Solution Overview
Problem
Hybrid vehicles face inefficiencies in energy consumption due to unnecessary transitions between engine on and off states, which affect fuel economy, as existing methods do not effectively utilize dynamic traffic information to determine optimal driving modes.
Innovation Solution
A control method for hybrid vehicles that uses dynamic traffic information, including traffic light and traffic situation data, to predict driving situations and adjust transition reference values between driving modes, ensuring the vehicle remains in electric vehicle mode when not passing through traffic lights, thereby minimizing engine transitions and optimizing fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the hybrid vehicle frequently transitions between engine on and off states, then the vehicle can adapt to varying power demands, but fuel economy deteriorates due to unnecessary engine transitions
Solution Approach 1:
The system performs preliminary analysis of traffic information (traffic lights, congestion, accidents) to predict future driving conditions before they occur. This allows the engine control unit to anticipate power demands and make proactive decisions about engine operation, avoiding unnecessary transitions by preparing in advance based on predicted traffic scenarios
Solution Approach 2:
The system continuously receives feedback from traffic information sources (V2I communication, sensors, navigation data) and adjusts engine operation decisions in real-time. This closed-loop feedback mechanism allows the system to adapt to changing traffic conditions while optimizing fuel economy by making informed decisions about when engine transitions are actually necessary
2Loss of energy
If the vehicle uses dynamic traffic information to determine driving modes, then fuel efficiency improves, but system complexity increases
Solution Approach 1:
The existing traffic information processing capabilities of the hybrid vehicle are extended to serve multiple functions: not only navigation and driver information display but also engine control optimization. By making the traffic information system multi-functional, the patent avoids adding entirely new complex subsystems while still achieving fuel efficiency improvements through integrated use of available data
Solution Approach 2:
The engine control unit acts as an intermediary that receives traffic information from various sources (navigation system, sensors, V2I communication) and translates this information into optimized engine control decisions. This intermediary approach allows the system to process traffic data without requiring direct complex integration between all traffic information sources and the engine management system
Data Source
AI summary
A method for controlling driving of a hybrid vehicle using dynamic traffic information includes: determining whether the hybrid vehicle passes through a traffic light based on the dynamic traffic information including traffic light information and traffic situation information, and determining a driving mode of the hybrid vehicle that is used on a road disposed between the hybrid vehicle and the traffic light based on whether the hybrid vehicle passes through the traffic light.