Hybrid Vehicle Drive Mode Control for Green Zone Emission Reduction
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Solution Overview
Problem
Existing hybrid electric vehicle control systems fail to adequately consider environmental and pedestrian health in mode switching, often prioritizing fuel efficiency over exhaust gas reduction in specific zones designated for pollution control.
Innovation Solution
A hybrid electric vehicle system that includes pedestrian and air pollution recognition units, which determine if a location meets prescribed exhaust gas reduction mode conditions, switching to a mode that minimizes engine maneuvering and exhaust gas discharge in designated 'green zones' to protect pedestrians and reduce air pollution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the vehicle operates in EV mode to reduce exhaust gas discharge, then environmental protection and pedestrian safety are improved, but fuel efficiency and power performance deteriorate
Solution Approach 1:
The system applies different drive modes to different spatial locations by using geographic information system (GIS) data to identify green zones. The vehicle switches to EV mode specifically when located within designated green zones, while allowing engine operation in other areas. This local differentiation resolves the contradiction by restricting exhaust emission only in environmentally sensitive areas rather than universally.
Solution Approach 2:
The drive mode is made dynamic and adaptive based on the vehicle's real-time location. The control system continuously monitors geographic coordinates and automatically transitions between EV mode and engine mode depending on whether the vehicle is within a green zone boundary. This dynamic adjustment allows the system to optimize environmental protection without permanently sacrificing fuel efficiency.
2Object-generated harmful factors
If the vehicle switches to EV mode in green zones, then air pollution is reduced, but vehicle power and acceleration performance worsen
Solution Approach 1:
The system restricts EV mode operation specifically to green zones where environmental protection is prioritized, while allowing full engine power operation outside these zones. This spatial differentiation ensures that power performance is maintained in areas where it is needed while air pollution is reduced in environmentally sensitive areas.
Solution Approach 2:
The power delivery system dynamically switches between electric motor-only operation and engine-assisted operation based on location. When entering a green zone, the system transitions to EV mode with reduced power capability, but immediately restores full power when exiting the zone, ensuring optimal performance is available when environmental constraints are not active.
3Object-affected harmful factors
If the system continuously monitors location and switches drive modes, then environmental protection is improved, but system complexity increases
Solution Approach 1:
The system uses geographic information system (GIS) data and pre-defined green zone boundaries as an intermediary to simplify control logic. Instead of complex real-time environmental sensing and analysis, the system relies on pre-mapped green zone information combined with GPS location data to automatically determine when to switch modes. This intermediary approach significantly reduces control system complexity while maintaining effective environmental protection.
Solution Approach 2:
Green zones and their boundaries are pre-defined and stored in the system before operation. The control system does not need to make complex decisions about when to reduce emissions; it only needs to check whether the current location falls within a pre-established green zone. This preliminary preparation of zone information simplifies the real-time control logic to a straightforward location-matching operation.
4Use of energy by moving object
If the vehicle operates in HEV mode with engine maneuvering, then fuel efficiency is improved, but pedestrian health and air quality deteriorate
Solution Approach 1:
The system allows engine operation and HEV mode specifically in areas outside green zones where fuel efficiency can be optimized without harming pedestrians or the environment. Within green zones, the system mandates EV mode to eliminate exhaust emissions. This spatial differentiation resolves the contradiction by allowing fuel-efficient operation in appropriate areas while protecting sensitive environments from pollution.
Solution Approach 2:
The control system continuously receives feedback from GPS location data and compares the current position against stored green zone boundaries. Based on this feedback, the system automatically adjusts the drive mode to either EV or HEV, creating a closed-loop control system that dynamically optimizes the balance between fuel efficiency and emission reduction based on real-time location information.
Data Source
AI summary
Disclosed is a hybrid electric vehicle and method of controlling operation of engine of the vehicle. The hybrid electric vehicle switches its drive mode in consideration of air pollution and pedestrians around the vehicle. A method of controlling a drive mode of a hybrid electric vehicle includes recognizing at least one of a pedestrian and an air pollution level around the hybrid electric vehicle, determining whether each of the recognized pedestrian and the recognized air pollution level meets a corresponding prescribed exhaust gas reduction mode request condition, and determining an exhaust gas reduction mode drive according to a result of the determination.