Real-Time Diesel Fuel Consumption Calculation Without MAF Sensor
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Solution Overview
Problem
Calculating diesel fuel consumption is complex due to non-constant air-fuel ratios and the lack of readily available proprietary information, such as fuel injector dwell times, and many vehicles do not report mass airflow (MAF) data, making existing methods ineffective.
Innovation Solution
A computer-implemented method using standard OBDII reported parameters and publicly available engine characteristics to calculate diesel fuel consumption in real-time, estimating instantaneous airflow without MAF sensor data by analyzing the engine as an air pump and employing fuzzy logic to infer fuel type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If standard OBDII parameters are used to calculate diesel fuel consumption, then the complexity of accessing proprietary information is reduced, but the calculation accuracy deteriorates due to non-constant air-fuel ratios
Solution Approach 1:
The system dynamically changes the calculation parameters based on detected operating conditions. When constant air-fuel ratio conditions are detected, it uses simplified calculations with standard OBDII parameters. When non-constant conditions are detected, it switches to using MAF sensor data and alternative calculation methods, thereby adapting to different operational states to maintain accuracy while managing complexity.
2Measurement precision
If MAF sensor data is used to calculate fuel consumption, then the calculation accuracy is improved, but the adaptability deteriorates because many vehicles do not report MAF data
Solution Approach 1:
The system is designed with multi-functionality to work with different vehicle types and data availability scenarios. It can calculate fuel consumption using MAF sensor data when available, and automatically switches to alternative methods using standard OBDII parameters when MAF data is unavailable, making the system universally applicable to various vehicle models and configurations.
Solution Approach 2:
The system uses a dual-calculation approach where it prepares alternative calculation methods that replicate the fuel consumption calculation using different parameter sets. When MAF data is unavailable, it copies the calculation logic and applies it with alternative parameters from standard OBDII data, ensuring continuous operation across different vehicle types.
3Productivity
If real-time diesel fuel consumption calculation is implemented, then the productivity of fuel monitoring is improved, but the device complexity increases due to multiple algorithms and fuzzy logic inference
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple calculation algorithms and fuzzy logic rules before actual fuel consumption calculation begins. The fuzzy logic inference system is pre-programmed with knowledge about different operating conditions and corresponding calculation methods, allowing rapid real-time decision-making without complex runtime processing.
Solution Approach 2:
The system dynamically selects and switches between different calculation algorithms based on real-time detection of operating conditions and data availability. The fuzzy logic inference continuously adapts the calculation method to current engine state, enabling real-time accuracy while managing complexity through conditional execution rather than always using the most complex method.
Data Source
AI summary
Diesel fuel consumption is calculated in real-time in an vehicle diagnostic monitor using standard OBDII reported parameters and publicly available engine characteristics. Also, fuel consumption in vehicles that maintain a constant air-fuel ratio is calculated by analyzing the subject engine as an air pump and reading publicly available OBDII diagnostic data to estimate the instantaneous airflow through the engine without the need of MAF sensor data.