O.B.D-2 sensor diagnostics for monitoring vehicle engine load

The increasing need for efficient vehicle diagnostics and performance optimization has led to advancements in On-Board Diagnostics (O.B.D) systems, particularly the O.B.D-2 protocol. This study investigates the real-time monitoring capabilities of O.B.D-2 for assessing engine load under various driving conditions. Three different vehicles were examined, and key parameters such as vehicle speed, engine speed, throttle position, and engine load were analyzed. Results indicated that engine load increases significantly when vehicle speed is low while Rounds per Minute (RPM) remain high. Conversely, when speed increases and engine speed reach the optimal range of 2000 to 3000 RPM, the total engine load decreases, indicating optimized engine performance. These findings highlight the potential of O.B.D-2 for real-time diagnostics and fuel efficiency improvements. The study also discusses the limitations of O.B.D-2 and future advancements in O.B.D-3, which promise enhanced real-time data transmission and remote monitoring. The implementation of next-generation diagnostic systems could play a crucial role in reducing emissions and improving vehicle maintenance strategies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17200157
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

O.B.D-2 sensor diagnostics for monitoring vehicle engine load

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

O.B.D-2 sensor diagnostics for monitoring vehicle engine load

article en

Abstract

The increasing need for efficient vehicle diagnostics and performance optimization has led to advancements in On-Board Diagnostics (O.B.D) systems, particularly the O.B.D-2 protocol. This study investigates the real-time monitoring capabilities of O.B.D-2 for assessing engine load under various driving conditions. Three different vehicles were examined, and key parameters such as vehicle speed, engine speed, throttle position, and engine load were analyzed. Results indicated that engine load increases significantly when vehicle speed is low while Rounds per Minute (RPM) remain high. Conversely, when speed increases and engine speed reach the optimal range of 2000 to 3000 RPM, the total engine load decreases, indicating optimized engine performance. These findings highlight the potential of O.B.D-2 for real-time diagnostics and fuel efficiency improvements. The study also discusses the limitations of O.B.D-2 and future advancements in O.B.D-3, which promise enhanced real-time data transmission and remote monitoring. The implementation of next-generation diagnostic systems could play a crucial role in reducing emissions and improving vehicle maintenance strategies.

Zenodo (CERN European Organization for Nuclear Research)
University of West Attica (GR), Senologic Hellenic Society (GR)
Affordable and clean energy
Openalex Percentile: Top 28%
Geochemistry and Geologic Mapping
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O.B.D-2 sensor diagnostics for monitoring vehicle engine load · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS