Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks

B. Wingelaar; G.R. Goncalves Da Silva; M. Lazar; Y. Chen; J.T.B.A. Kessels

doi:10.1109/CCTA48906.2021.9659078

Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks

B. Wingelaar
, G.R. Goncalves Da Silva
, M. Lazar
, Y. Chen
, J.T.B.A. Kessels

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

Abstract

In this paper, an eco-driving Pontryagin maximum principle (PMP) algorithm is designed for optimal deceleration and gear shifting in trucks based on switching among a finite set of driving modes. The PMP algorithm is implemented and assessed in the IPG TruckMaker traffic simulator as an eco-driving assistance system (EDAS). The developed EDAS strategy reduces fuel consumption with an optimized velocity profile and, in practice, allows contextual feedback incorporation from the driver for safety. Furthermore, the optimization over driving modes is computationally inexpensive, allowing the methodology to be used online, in real-time. Simulation results show that significant fuel savings can be achieved proportional to the number of velocity events and the difference between current velocity and final desired velocity for each event.

Original language	English
Title of host publication	CCTA 2021 - 5th IEEE Conference on Control Technology and Applications
Publisher	Institute of Electrical and Electronics Engineers
Pages	8-13
Number of pages	6
ISBN (Electronic)	9781665436434
DOIs	https://doi.org/10.1109/CCTA48906.2021.9659078
Publication status	Published - 3 Jan 2022
Event	5th IEEE Conference on Control Technology and Applications, CCTA 2021 - Online, San Diego, United States Duration: 8 Aug 2021 → 11 Aug 2021 Conference number: 5 https://ccta2021.ieeecss.org/

Conference

Conference	5th IEEE Conference on Control Technology and Applications, CCTA 2021
Abbreviated title	CCTA 2021
Country/Territory	United States
City	San Diego
Period	8/08/21 → 11/08/21
Internet address	https://ccta2021.ieeecss.org/

Bibliographical note

Funding Information:
1Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands: [email protected], [email protected], [email protected] 2College of Electrical Engineering and Automation, Fuzhou University, China: ytchen [email protected] 3DAF Trucks, The Netherlands:john.kessels@daftrucks .com This work has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN.

Funding Information:
This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN.

Funding

1Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands: [email protected], [email protected], [email protected] 2College of Electrical Engineering and Automation, Fuzhou University, China: ytchen [email protected] 3DAF Trucks, The Netherlands:john.kessels@daftrucks .com This work has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN. This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN.

Access to Document

10.1109/CCTA48906.2021.9659078

Cite this

Wingelaar, B., Goncalves Da Silva, G. R., Lazar, M., Chen, Y., & Kessels, J. T. B. A. (2022). Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks. In CCTA 2021 - 5th IEEE Conference on Control Technology and Applications (pp. 8-13). Article 9659078 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCTA48906.2021.9659078

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abstract = "In this paper, an eco-driving Pontryagin maximum principle (PMP) algorithm is designed for optimal deceleration and gear shifting in trucks based on switching among a finite set of driving modes. The PMP algorithm is implemented and assessed in the IPG TruckMaker traffic simulator as an eco-driving assistance system (EDAS). The developed EDAS strategy reduces fuel consumption with an optimized velocity profile and, in practice, allows contextual feedback incorporation from the driver for safety. Furthermore, the optimization over driving modes is computationally inexpensive, allowing the methodology to be used online, in real-time. Simulation results show that significant fuel savings can be achieved proportional to the number of velocity events and the difference between current velocity and final desired velocity for each event.",

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note = "Funding Information: 1Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands: [email protected], [email protected], [email protected] 2College of Electrical Engineering and Automation, Fuzhou University, China: ytchen [email protected] 3DAF Trucks, The Netherlands:john.kessels@daftrucks .com This work has received funding from the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN. Funding Information: This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 874972, Project LONGRUN. ; 5th IEEE Conference on Control Technology and Applications, CCTA 2021, CCTA 2021 ; Conference date: 08-08-2021 Through 11-08-2021",

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Wingelaar, B, Goncalves Da Silva, GR, Lazar, M, Chen, Y & Kessels, JTBA 2022, Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks. in CCTA 2021 - 5th IEEE Conference on Control Technology and Applications., 9659078, Institute of Electrical and Electronics Engineers, pp. 8-13, 5th IEEE Conference on Control Technology and Applications, CCTA 2021, San Diego, California, United States, 8/08/21. https://doi.org/10.1109/CCTA48906.2021.9659078

Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks. / Wingelaar, B.; Goncalves Da Silva, G.R.; Lazar, M. et al.
CCTA 2021 - 5th IEEE Conference on Control Technology and Applications. Institute of Electrical and Electronics Engineers, 2022. p. 8-13 9659078.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Design and assessment of an eco-driving PMP algorithm for optimal deceleration and gear shifting in trucks

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