Hybrid Vehicle Engine Control Using Driver Travel History
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Solution Overview
Problem
In hybrid vehicles, varying driving styles among drivers make it challenging to achieve optimal energy efficiency, as existing control systems struggle to adapt fuel consumption characteristics to individual driving habits.
Innovation Solution
A control apparatus that utilizes a processor to analyze traveling characteristic data and adjust the fuel consumption characteristics of the engine by controlling the operations of the generator and drive motor, allowing the engine to operate on an optimized fuel consumption path based on historical driving data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed control system is used for hybrid vehicles, then the control structure is simple and reliable, but the energy efficiency cannot be optimized for varying driving styles
Solution Approach 1:
The control system dynamically adapts to different driving styles by continuously learning from historical driving data and adjusting control parameters in real-time. The processor analyzes traveling characteristic data to identify driving patterns and modifies fuel consumption characteristics accordingly, transforming a static control system into a dynamic one that evolves with user behavior
Solution Approach 2:
The control system performs self-learning and self-optimization by automatically analyzing its own operational data and adjusting fuel consumption characteristics without external intervention. The processor autonomously processes traveling characteristic data and modifies engine control parameters based on learned driving patterns, enabling the system to improve its own performance
2Use of energy by moving object
If the fuel consumption characteristic is fixed, then the engine control is simple and reliable, but the energy efficiency cannot be improved for different driving patterns
Solution Approach 1:
The control system performs preliminary learning during the early operational phases by accumulating and analyzing traveling characteristic data to establish baseline driving patterns. This preliminary action enables the system to prepare optimized fuel consumption characteristics before actual driving conditions require them, improving efficiency proactively rather than reactively
Solution Approach 2:
The system implements continuous feedback loops where the processor monitors actual fuel consumption, compares it with target values, and adjusts control parameters accordingly. Historical driving data is fed back into the learning algorithm to refine fuel consumption characteristics, creating a closed-loop control system that continuously improves efficiency based on real-world performance
3Use of energy by moving object
If the engine operating point is optimized for fuel consumption, then energy efficiency improves, but the response to varying driver requirements may be delayed
Solution Approach 1:
The control system dynamically adjusts the balance between fuel consumption optimization and response speed based on real-time driving conditions and learned driver behavior patterns. When rapid acceleration is detected or anticipated through pattern recognition, the system prioritizes response speed over fuel efficiency, while during steady-state operation, it maximizes fuel efficiency
Solution Approach 2:
The system periodically updates fuel consumption characteristics based on accumulated driving data while maintaining real-time responsiveness to immediate driver requirements. This periodic optimization cycle allows the system to balance long-term efficiency improvements with short-term response needs, adjusting control parameters at appropriate intervals without compromising immediate vehicle performance
Data Source
AI summary
A control apparatus is configured to control a vehicle. The vehicle includes an engine, a generator, and a drive motor. The generator is configured to generate electric power by using motive power to be outputted from the engine. The drive motor is coupled to a drive wheel. The engine, the generator, and the drive motor are coupled to each other via a planetary gear mechanism. The control apparatus includes a processor configured to control an operating point of the engine by controlling respective operations of the generator and the drive motor. The processor is configured to change a fuel consumption characteristic of the engine on the basis of traveling characteristic data, and to control the operating point of the engine on the basis of the fuel consumption characteristic. The traveling characteristic data indicates a traveling characteristic in the past of the vehicle driven by a driver of the vehicle.