Adaptive Driving Strategy for Emission Optimization
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Solution Overview
Problem
Current vehicle emission reduction systems, such as engine start-stop and intelligent speed adaptation, do not account for additional driving factors that contribute to CO2 emissions, limiting their effectiveness in reducing overall emissions.
Innovation Solution
An emission optimization system that uses a road scenario sensor and computer processing unit to detect upcoming driving events and implement an adaptive driving strategy, including optimal acceleration rates and power management strategies, to minimize emissions by adjusting vehicle operations such as speed, engine output, and accessory usage based on ideal emission thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If engine start-stop strategy is used to reduce emissions, then CO2 emissions are reduced by deactivating the engine, but the system does not account for additional driving factors that could further reduce emissions
Solution Approach 1:
The system segments the emission reduction approach into multiple independent components: engine start-stop control, intelligent speed adaptation, optimal acceleration rate control, and power management strategies. Each component addresses specific driving factors independently, allowing comprehensive emission reduction by considering multiple factors simultaneously rather than relying on a single unified system.
Solution Approach 2:
The emission optimization system is designed to be universally applicable by integrating multiple functiona lities: it monitors road scenarios, predicts driving events, calculates optimal acceleration rates, manages power distribution, and controls various vehicle systems. This multi-functional approach allows the system to address diverse driving factors and be adapted to different driving conditions and vehicle types.
2Object-generated harmful factors
If intelligent speed adaptation limits maximum speed to reduce emissions, then CO2 emissions are reduced, but the system is configured primarily as a safety system rather than an emission reduction system
Solution Approach 1:
The intelligent speed adaptation component is transformed from a static safety system with fixed speed limits into a dynamic emission reduction system. The system dynamically calculates optimal speed profiles based on real-time road scenarios, traffic conditions, and emission thresholds, allowing speed limits to adapt flexibly to different driving situations while prioritizing emission reduction over pure safety considerations.
Solution Approach 2:
The system changes the control parameters from binary speed limit enforcement to continuous speed optimization. Instead of simply limiting maximum speed, the system adjusts speed profiles, acceleration rates, and power management parameters continuously based on emission models and driving conditions, transforming the configuration from safety-oriented to emission-oriented while maintaining adaptability.
3Object-generated harmful factors
If optimal acceleration rate and power management strategies are implemented, then emissions are reduced by adjusting vehicle operations, but the system complexity increases with multiple control parameters
Solution Approach 1:
The system performs preliminary calculations of optimal acceleration rates and power management strategies based on predicted driving events and emission thresholds before actual driving occurs. By pre-calculating optimal parameters based on road scenarios and emission models, the system reduces real-time computational complexity while maintaining comprehensive emission reduction capabilities across multiple control parameters.
Data Source
AI summary
The system includes a road scenario sensor, a vehicle control unit, and a computer processing unit. The road scenario sensor detects upcoming road scenarios for the system vehicle. The computer processing unit receives an input from the road scenario sensor and determines a upcoming driving event based upon the detected upcoming road scenarios. The computer processing unit compares the upcoming driving event with an ideal emissions model having acceptable emission thresholds to determine an adaptive driving strategy. The adaptive driving strategy configures the system vehicle to reduce emissions for the upcoming driving event. The adaptive driving strategy optionally includes an optimal acceleration rate and/or an optimal power management strategy. The optimal acceleration rate is based upon the required speed of the vehicle at the upcoming driving event and the distance from the vehicle to the upcoming driving event, and the ideal emissions model having acceptable emission thresholds.