Segmentation trajectory optimization of nonlinear power components in series HEV

Shumin Ruan; Yue Ma; Fei Qi; Huimin Zhang

doi:10.1109/DDCLS.2019.8909016

Segmentation trajectory optimization of nonlinear power components in series HEV

Shumin Ruan, Yue Ma, Fei Qi, Huimin Zhang

School of Mechanical Engineering

Beijing Institute of Technology

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

Abstract

In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	800-807
Number of pages	8
ISBN (Electronic)	9781728114545
DOIs	https://doi.org/10.1109/DDCLS.2019.8909016
Publication status	Published - May 2019
Event	8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019 - Dali, China Duration: 24 May 2019 → 27 May 2019

Publication series

Name	Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019

Conference

Conference	8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019
Country/Territory	China
City	Dali
Period	24/05/19 → 27/05/19

Keywords

Hybrid electric vehicle
Optimal control
Radau pseudo-spectral method

Access to Document

10.1109/DDCLS.2019.8909016

Cite this

Ruan, S., Ma, Y., Qi, F., & Zhang, H. (2019). Segmentation trajectory optimization of nonlinear power components in series HEV. In Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019 (pp. 800-807). Article 8909016 (Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS.2019.8909016

Ruan, Shumin ; Ma, Yue ; Qi, Fei et al. / Segmentation trajectory optimization of nonlinear power components in series HEV. Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 800-807 (Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019).

@inproceedings{e0271c0fc80a4414a75724bc7f423338,

title = "Segmentation trajectory optimization of nonlinear power components in series HEV",

abstract = "In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.",

keywords = "Hybrid electric vehicle, Optimal control, Radau pseudo-spectral method",

author = "Shumin Ruan and Yue Ma and Fei Qi and Huimin Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019 ; Conference date: 24-05-2019 Through 27-05-2019",

year = "2019",

month = may,

doi = "10.1109/DDCLS.2019.8909016",

language = "English",

series = "Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "800--807",

booktitle = "Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019",

address = "United States",

}

Ruan, S, Ma, Y, Qi, F & Zhang, H 2019, Segmentation trajectory optimization of nonlinear power components in series HEV. in Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019., 8909016, Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 800-807, 8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019, Dali, China, 24/05/19. https://doi.org/10.1109/DDCLS.2019.8909016

Segmentation trajectory optimization of nonlinear power components in series HEV. / Ruan, Shumin; Ma, Yue; Qi, Fei et al.
Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 800-807 8909016 (Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019).

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

TY - GEN

T1 - Segmentation trajectory optimization of nonlinear power components in series HEV

AU - Ruan, Shumin

AU - Ma, Yue

AU - Qi, Fei

AU - Zhang, Huimin

PY - 2019/5

Y1 - 2019/5

N2 - In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.

AB - In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.

KW - Hybrid electric vehicle

KW - Optimal control

KW - Radau pseudo-spectral method

UR - http://www.scopus.com/inward/record.url?scp=85076426805&partnerID=8YFLogxK

U2 - 10.1109/DDCLS.2019.8909016

DO - 10.1109/DDCLS.2019.8909016

M3 - Conference contribution

AN - SCOPUS:85076426805

T3 - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019

SP - 800

EP - 807

BT - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019

Y2 - 24 May 2019 through 27 May 2019

ER -

Ruan S, Ma Y, Qi F, Zhang H. Segmentation trajectory optimization of nonlinear power components in series HEV. In Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 800-807. 8909016. (Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019). doi: 10.1109/DDCLS.2019.8909016

Segmentation trajectory optimization of nonlinear power components in series HEV

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this