Integrating battery management into energy management for hybrid heavy-duty trucks

H.T. Pham; S.K. Ramachandran; J.T.B.A. Kessels; R.G.M. Huisman; P.P.J. van den Bosch

Integrating battery management into energy management for hybrid heavy-duty trucks

H.T. Pham, S.K. Ramachandran, J.T.B.A. Kessels, R.G.M. Huisman, P.P.J. van den Bosch

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

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Abstract

This paper integrates the Battery Management System (BMS) into the Energy Management system to achieve a robust strategy for Hybrid Electric Heavy-duty Trucks (denoted as HEVs), where the requested battery lifetime is guaranteed for typical real-world driving situations. The developed control strategy, called Integrated Energy Management (IEM), utilizes a dynamic battery lifetime model to predict and manage the battery lifespan. Simulation results for different ambient temperatures and driving cycles demonstrate the robustness of the IEM strategy.

Original language	English
Title of host publication	Proceedings of the Fisita World Automotive Congress, 2-6 June 2014, Maastricht, The Netherlands
Number of pages	8
Publication status	Published - 2014
Event	FISITA 2014 World Automotive Congress - Maastricht, Netherlands Duration: 2 Jun 2014 → 6 Jun 2014 http://www.fisita2014.com/

Conference

Conference	FISITA 2014 World Automotive Congress
Abbreviated title	FISITA 2014
Country/Territory	Netherlands
City	Maastricht
Period	2/06/14 → 6/06/14
Internet address	http://www.fisita2014.com/

Cite this

@inproceedings{2691b7c7f7864ec4bf8f81af26c8ca47,

title = "Integrating battery management into energy management for hybrid heavy-duty trucks",

abstract = "This paper integrates the Battery Management System (BMS) into the Energy Management system to achieve a robust strategy for Hybrid Electric Heavy-duty Trucks (denoted as HEVs), where the requested battery lifetime is guaranteed for typical real-world driving situations. The developed control strategy, called Integrated Energy Management (IEM), utilizes a dynamic battery lifetime model to predict and manage the battery lifespan. Simulation results for different ambient temperatures and driving cycles demonstrate the robustness of the IEM strategy.",

author = "H.T. Pham and S.K. Ramachandran and J.T.B.A. Kessels and R.G.M. Huisman and {van den Bosch}, P.P.J.",

year = "2014",

language = "English",

booktitle = "Proceedings of the Fisita World Automotive Congress, 2-6 June 2014, Maastricht, The Netherlands",

note = "FISITA 2014 World Automotive Congress, FISITA 2014 ; Conference date: 02-06-2014 Through 06-06-2014",

url = "http://www.fisita2014.com/",

}

Integrating battery management into energy management for hybrid heavy-duty trucks. / Pham, H.T.; Ramachandran, S.K.; Kessels, J.T.B.A. et al.
Proceedings of the Fisita World Automotive Congress, 2-6 June 2014, Maastricht, The Netherlands. 2014. F2014-TMH-019.

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

TY - GEN

T1 - Integrating battery management into energy management for hybrid heavy-duty trucks

AU - Pham, H.T.

AU - Ramachandran, S.K.

AU - Kessels, J.T.B.A.

AU - Huisman, R.G.M.

AU - van den Bosch, P.P.J.

PY - 2014

Y1 - 2014

N2 - This paper integrates the Battery Management System (BMS) into the Energy Management system to achieve a robust strategy for Hybrid Electric Heavy-duty Trucks (denoted as HEVs), where the requested battery lifetime is guaranteed for typical real-world driving situations. The developed control strategy, called Integrated Energy Management (IEM), utilizes a dynamic battery lifetime model to predict and manage the battery lifespan. Simulation results for different ambient temperatures and driving cycles demonstrate the robustness of the IEM strategy.

AB - This paper integrates the Battery Management System (BMS) into the Energy Management system to achieve a robust strategy for Hybrid Electric Heavy-duty Trucks (denoted as HEVs), where the requested battery lifetime is guaranteed for typical real-world driving situations. The developed control strategy, called Integrated Energy Management (IEM), utilizes a dynamic battery lifetime model to predict and manage the battery lifespan. Simulation results for different ambient temperatures and driving cycles demonstrate the robustness of the IEM strategy.

M3 - Conference contribution

BT - Proceedings of the Fisita World Automotive Congress, 2-6 June 2014, Maastricht, The Netherlands

T2 - FISITA 2014 World Automotive Congress

Y2 - 2 June 2014 through 6 June 2014

ER -

Integrating battery management into energy management for hybrid heavy-duty trucks

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Conference

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