Fleet Engine Calibration via Real-Time Fuel Analysis
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Solution Overview
Problem
Existing systems for calibrating multiple fuel internal combustion engines are complex and costly, requiring extensive testing to accommodate various fuels, and fail to consider global fleet management goals, leading to inefficiencies and increased operating costs.
Innovation Solution
A control system that includes a gas analyzer, fleet management data monitoring, and cylinder pressure sensors to measure and adjust fuel characteristics and operational parameters in real-time, allowing for instantaneous adjustments to combustion phasing and fuel injection to optimize engine performance and meet fleet management objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If extensive testing is conducted to accommodate various fuels, then engine calibration accuracy is improved, but system complexity and operating costs increase
Solution Approach 1:
The engine performs self-calibration by using its own combustion events as test data. The system automatically processes detonation signals from combustion events to determine optimal ignition methods, eliminating the need for external laboratory testing and complex calibration procedures.
Solution Approach 2:
The system continuously monitors combustion events and uses real-time feedback from detonation signals to adjust ignition timing and fuel injection parameters. This closed-loop control enables automatic adaptation to different fuel qualities without requiring pre-calibration for each fuel type.
2Manufacturing precision
If extensive testing is conducted to accommodate various fuels, then engine calibration accuracy is improved, but operating costs increase
Solution Approach 1:
The engine uses its own operational data from combustion events to calibrate itself, eliminating the need for costly external testing facilities and expert intervention. The system converts normal operational combustion events into calibration data sources.
Solution Approach 2:
The calibration process occurs continuously during normal engine operation rather than requiring separate testing periods. Each combustion event contributes to calibration, maximizing the utility of operational time and reducing idle testing costs.
3Manufacturing precision
If the engine acts as a laboratory for testing ignition methods, then optimal ignition method is determined, but time required for calibration increases
Solution Approach 1:
The calibration process occurs continuously during normal engine operation rather than requiring separate testing periods. Each combustion event contributes to calibration, maximizing the utility of operational time and reducing idle testing costs.
Solution Approach 2:
The system performs preliminary analysis of combustion events and begins determining optimal ignition methods during normal operation. By the time specific fuel quality changes are detected, the calibration data and algorithms are already prepared for rapid adjustment.
4Manufacturing precision
If the engine is controlled to act as a laboratory, then fuel ignition method is optimized, but engine adaptability to different fuels decreases
Solution Approach 1:
The ignition system dynamically adjusts between different ignition modes (spark ignition, homogeneous charge compression ignition, compression ignition) based on real-time fuel quality detection. The system can switch between modes without fixed configuration, maintaining versatility while achieving optimization for each specific fuel type.
Solution Approach 2:
The system changes operational parameters such as ignition timing, compression ratio, and fuel injection timing based on detected fuel characteristics. By dynamically adjusting these parameters rather than fixing the ignition method, the engine maintains adaptability across different fuel types while optimizing performance for each.
Data Source
AI summary
A control system for a multiple fuel internal combustion engine on a vehicle in a fleet of vehicles may include at least one gas analyzer configured to monitor real-time characteristics of gaseous fuel being supplied to the engine, a fleet management data monitoring module, and a cylinder pressure sensor associated with each cylinder of the engine. The control system may further include a data collection module configured to receive real-time fuel characteristics measurements from the gas analyzer, fleet data characteristic of one or more operational parameters, fuel usage, and performance results for vehicles in the fleet, and cylinder pressure measurements from each of the cylinder pressure sensors. An engine electronic control module may calculate one or more actual combustion parameter values from the real-time cylinder pressure measurements, assign weights to fuel characteristics data, cylinder pressure data, and fleet management data, and control at least one of fuel injection and ignition timing based on the weighted data and any difference between calculated actual combustion parameter values for each cylinder and predetermined combustion parameter values.