Multi motor electric powertrains: Technological potential and implementation of a model based approach

Martin Dendaluce Jahnke; Miguel Allende Marcos; Joshué Pérez Rastelli; Pablo Prieto Arce; Adrián Martin Sandi

doi:10.1109/IECON.2016.7793257

Multi motor electric powertrains: Technological potential and implementation of a model based approach

Martin Dendaluce Jahnke, Miguel Allende Marcos, Joshué Pérez Rastelli, Pablo Prieto Arce, Adrián Martin Sandi

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

4 Citations (Scopus)

Abstract

Vehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	223-228
Number of pages	6
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7793257
Publication status	Published - 21 Dec 2016
Event	42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Country/Territory	Italy
City	Florence
Period	24/10/16 → 27/10/16

Keywords

Advanced control
Code generation
Electric motor
Heterogeneous
Machine-learning
MBD
Multi-domain
Multi-motor
Powertrain
SoC
System-on-chip
Torque vectoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON.2016.7793257

Cite this

Dendaluce Jahnke, M., Allende Marcos, M., Pérez Rastelli, J., Prieto Arce, P., & Martin Sandi, A. (2016). Multi motor electric powertrains: Technological potential and implementation of a model based approach. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 223-228). Article 7793257 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793257

Dendaluce Jahnke, Martin ; Allende Marcos, Miguel ; Pérez Rastelli, Joshué et al. / Multi motor electric powertrains : Technological potential and implementation of a model based approach. Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. pp. 223-228 (IECON Proceedings (Industrial Electronics Conference)).

@inproceedings{9b843a082bca499d83d5ee96044921e0,

title = "Multi motor electric powertrains: Technological potential and implementation of a model based approach",

abstract = "Vehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.",

keywords = "Advanced control, Code generation, Electric motor, Heterogeneous, Machine-learning, MBD, Multi-domain, Multi-motor, Powertrain, SoC, System-on-chip, Torque vectoring",

author = "{Dendaluce Jahnke}, Martin and {Allende Marcos}, Miguel and {P{\'e}rez Rastelli}, Joshu{\'e} and {Prieto Arce}, Pablo and {Martin Sandi}, Adri{\'a}n",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",

year = "2016",

month = dec,

day = "21",

doi = "10.1109/IECON.2016.7793257",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "223--228",

booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",

address = "United States",

}

Dendaluce Jahnke, M, Allende Marcos, M, Pérez Rastelli, J, Prieto Arce, P & Martin Sandi, A 2016, Multi motor electric powertrains: Technological potential and implementation of a model based approach. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793257, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 223-228, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/16. https://doi.org/10.1109/IECON.2016.7793257

Multi motor electric powertrains: Technological potential and implementation of a model based approach. / Dendaluce Jahnke, Martin; Allende Marcos, Miguel; Pérez Rastelli, Joshué et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 223-228 7793257 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - Multi motor electric powertrains

T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016

AU - Dendaluce Jahnke, Martin

AU - Allende Marcos, Miguel

AU - Pérez Rastelli, Joshué

AU - Prieto Arce, Pablo

AU - Martin Sandi, Adrián

PY - 2016/12/21

Y1 - 2016/12/21

N2 - Vehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.

AB - Vehicle electrification is proliferating and evolving towards multi-motor vehicles. This implies new degrees of freedom and higher controllability. Meanwhile, embedded technology is presenting attractive new solutions. Furthermore, Model-Based Development gains relevance as the complexity of automotive applications continues to grow and regulations address functional safety. The implications of this context are described in this work and taken as motivation to implement a solution that involves the key technologies related to the discussed domains and their remarkable potential. This paper presents the implementation of a methodology and its workflow with a toolchain setup which has been used to develop and commission a System-on-Chip-based ECU for a Torque Vectoring algorithm in a Motor-in-Wheel demonstrator vehicle. The implemented solution permits to rapidly and safely move from algorithm development and laboratory simulations to real circuit testing, agilely iterating control enhancements, tests and validation, for an efficient and effective deployment. Furthermore, both the applied methodology and the selected toolchain are suited for future certification considerations.

KW - Advanced control

KW - Code generation

KW - Electric motor

KW - Heterogeneous

KW - Machine-learning

KW - MBD

KW - Multi-domain

KW - Multi-motor

KW - Powertrain

KW - SoC

KW - System-on-chip

KW - Torque vectoring

UR - http://www.scopus.com/inward/record.url?scp=85010065760&partnerID=8YFLogxK

U2 - 10.1109/IECON.2016.7793257

DO - 10.1109/IECON.2016.7793257

M3 - Conference contribution

AN - SCOPUS:85010065760

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 223

EP - 228

BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society

PB - IEEE Computer Society

Y2 - 24 October 2016 through 27 October 2016

ER -

Dendaluce Jahnke M, Allende Marcos M, Pérez Rastelli J, Prieto Arce P, Martin Sandi A. Multi motor electric powertrains: Technological potential and implementation of a model based approach. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 223-228. 7793257. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2016.7793257

Multi motor electric powertrains: Technological potential and implementation of a model based approach

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this