1. Company introduction

MTOV Co., Ltd. conducts various missions in automotive-related areas and innovates smart driving.

2. Problem Background and Summary

It is important to measure accurate fuel consumption and fuel economy for economic driving or autonomous driving. The fuel economy measurement method using mileage and fuel meter residual fuel volume can only find the average fuel economy in a relatively long section, and depending on the condition such as the inclination of the vehicle, the remaining fuel volume measurement sensor also has errors, making it difficult to accurately measure. The goal is to identify existing fuel economy measurement models to derive accurate fuel economy measurement methods, or to model new measurement methods using OBD data.

3. Solving Process

Provides basic data analysis methods and analysis results, including exploratory data analysis, statistical analysis of correlation, and visualization of OBD data

By smoothing (noise removal) the remaining fuel volume of the fuel system with large errors using linear return, moving average, etc., the remaining fuel quantity provided by OBD is not detailed in the minimum unit and the fuel efficiency of the section is difficult to measure even with a large error smoothing.

Implementing an instant fuel economy measurement program using OBD items such as Mass air flow (MAF) and Air/fuel ratio

If OBD data is defective depending on vehicle type, model year, vehicle condition, etc., suggest and implement methods to predict items that are largely related to fuel economy calculations such as MAF with other data.

4. Ripple effects and future plans

Expect to be able to more accurately calculate the actual fuel economy of the car and give the driver accurate indicators

After additional and ongoing data collection by the enterprise, results can be applied to improve algorithms