Hybrid Vehicle Fuel Management Trip-Specific Feedback
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Solution Overview
Problem
Existing methods for optimizing fuel consumption in hybrid vehicles do not effectively account for the driver's behavior, leading to suboptimal energy savings, as they either proactively charge batteries without considering driver behavior or display comparative fuel consumption that is not trip-specific.
Innovation Solution
A method that determines a target fuel economy value based on a trip-specific dataset or model, comparing it to actual fuel usage, informing the driver or fleet manager about the impact of driving style on energy savings, by calculating energy needs with and without hybrid components and displaying the results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fuel consumption optimization methods do not account for driver behavior, then the system complexity is reduced, but the fuel savings effectiveness deteriorates
Solution Approach 1:
The system implements feedback by comparing actual fuel consumption with target fuel consumption values and providing information to the driver about the impact of their driving behavior on energy savings. This allows the system to adapt to driver behavior without requiring complex real-time control mechanisms, thus maintaining simplicity while improving fuel savings effectiveness.
2Ease of manufacture
If comparative fuel consumption display is not trip-specific, then the implementation effort is reduced, but the energy optimization effectiveness deteriorates
Solution Approach 1:
The system performs preliminary actions by determining target fuel consumption values based on trip-specific parameters before the actual trip. This allows the system to provide meaningful comparisons without requiring complex real-time calculations during the trip, thus reducing implementation effort while maintaining energy optimization effectiveness.
3Device complexity
If actual versus target fuel economy comparison is not provided to the driver, then the information processing requirements are reduced, but the driver awareness of energy savings deteriorates
Solution Approach 1:
The system provides feedback to the driver by displaying the comparison between actual and target fuel consumption values, along with information about the impact of driving behavior on energy savings. This enhances driver awareness without requiring complex information processing, as the system presents processed comparisons in an easily understandable format.
Data Source
AI summary
This method is for managing fuel consumption of a hybrid vehicle on a given trip, the vehicle including an internal combustion engine, an electric energy storage arrangement and at least an electric machine adapted to work as a generator or as a motor. This method includes:a) determination, for the given trip, of a target value of a parameter representative of fuel economy resulting from the use of the electric machine,b) determination of an actual value of the parameter when the vehicle is running on the trip,c) comparison of said target value and the actual value, andd) information of a user of the result of the comparison, at least at the end of the trip.The vehicle is provided with a computation arrangement and display for allowing steps c) and d) to take place onboard.