Fuel Level Estimation in Tank of Truck in Motion

• Autorzy: Biernacki Pawel , Libal Urszula

Identyfikatory

DOI

10.24425/ijet.2025.153587

• Języki publikacji: EN

Abstrakty

EN

The paper presents the results of a case study on estimating the fuel level in the tank of a motor vehicle. A method based on the concept of particle filtering of noisy measurement data is proposed. The algorithm designed using the Sequential Monte Carlo method with Sequential Importance Sampling is combined with classical digital filters used for signal filtering. In the simulations, real data obtained by measuring fuel levels in the tanks of TIR heavy trucks from one of the Polish trucking companies are used. The performance of the applied method was considered in various measurement situations, such as refueling, driving on an uneven road surface, driving on steep roads, and fading of the measurement signals.

Słowa kluczowe

EN

automotive sensor; particle filter; Sequential Monte Carlo; fuel level; heavy truck; vehicle in motion

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2025
• Tom: Vol. 71, No. 2
• Strony: 413--418
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., fot.

Twórcy

autor

Biernacki Pawel

• University of Science and Technology, Wrocław

• https://orcid.org/0000-0002-0818-5981

autor

Libal Urszula

• University of Science and Technology, Wrocław

• https://orcid.org/0000-0002-3348-510X

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).