Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems

Kailong Liu; Ji Li; Chong Zhu; Tao Chen; Kang Li; Quan Zhou; Hongming Xu

doi:10.1109/CIEEC54735.2022.9845925

Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems

Kailong Liu, Ji Li, Chong Zhu, Tao Chen, Kang Li, Quan Zhou, Hongming Xu

Mechanical Engineering

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

Abstract

This paper introduces an effective modular design solution for series-parallel hybrid propulsion systems (HPSs) based on a battery electrothermal model and a temperature-related sub-objective to consider both the battery electrical and thermal behaviors. To ensure that more optimal design options are provided, a Pareto-augmented collaborative optimization (PACO)-based framework is proposed to integrate three multiobjective evolutionary algorithms (MOEAs), aiming to expand the distribution of the Pareto frontier. Furthermore, two real driving cycles obtained from worldwide harmonized light vehicles are utilized to evaluate the performance of the optimized vehicle systems. The results show that the decomposed MOEA (MOEA/D) within PACO is the main contributor to the performance improvement in the modular design of HPSs, which leads to the reduction of generational distance by over 2.7% and the increase of the hypervolume by over 17.6%, in comparison with two state-of-the-art evolutionary algorithms.

Original language	English
Title of host publication	2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1912-1917
Number of pages	6
ISBN (Electronic)	9781665411042
ISBN (Print)	9781665411059 (PoD)
DOIs	https://doi.org/10.1109/CIEEC54735.2022.9845925
Publication status	Published - 11 Aug 2022
Event	2022 IEEE 5th International Electrical and Energy Conference (CIEEC) - Nangjing, China Duration: 27 May 2022 → 29 May 2022

Publication series

Name	China International Electrical and Energy Conference (CIEEC)
Publisher	IEEE

Conference

Conference	2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
Period	27/05/22 → 29/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Evolutionary computation
Propulsion
Numerical simulation
Robustness
Batteries
Numerical models
Hybrid electric vehicles
Battery electrothermal dynamics
plug-in hybrid electric vehicle
multi-objective evolutionary algorithm
modular design

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/CIEEC54735.2022.9845925

Cite this

Liu, K., Li, J., Zhu, C., Chen, T., Li, K., Zhou, Q., & Xu, H. (2022). Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. In 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (pp. 1912-1917). Article 9845925 (China International Electrical and Energy Conference (CIEEC)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CIEEC54735.2022.9845925

Liu, Kailong ; Li, Ji ; Zhu, Chong et al. / Electrothermally-aware multi-objective modular design : a case study on series-parallel hybrid propulsion systems. 2022 IEEE 5th International Electrical and Energy Conference (CIEEC). Institute of Electrical and Electronics Engineers (IEEE), 2022. pp. 1912-1917 (China International Electrical and Energy Conference (CIEEC)).

@inproceedings{be862caecacb4c4e918d4d3b82ab9201,

title = "Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems",

abstract = "This paper introduces an effective modular design solution for series-parallel hybrid propulsion systems (HPSs) based on a battery electrothermal model and a temperature-related sub-objective to consider both the battery electrical and thermal behaviors. To ensure that more optimal design options are provided, a Pareto-augmented collaborative optimization (PACO)-based framework is proposed to integrate three multiobjective evolutionary algorithms (MOEAs), aiming to expand the distribution of the Pareto frontier. Furthermore, two real driving cycles obtained from worldwide harmonized light vehicles are utilized to evaluate the performance of the optimized vehicle systems. The results show that the decomposed MOEA (MOEA/D) within PACO is the main contributor to the performance improvement in the modular design of HPSs, which leads to the reduction of generational distance by over 2.7% and the increase of the hypervolume by over 17.6%, in comparison with two state-of-the-art evolutionary algorithms.",

keywords = "Evolutionary computation, Propulsion, Numerical simulation, Robustness, Batteries, Numerical models, Hybrid electric vehicles, Battery electrothermal dynamics, plug-in hybrid electric vehicle, multi-objective evolutionary algorithm, modular design",

author = "Kailong Liu and Ji Li and Chong Zhu and Tao Chen and Kang Li and Quan Zhou and Hongming Xu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) ; Conference date: 27-05-2022 Through 29-05-2022",

year = "2022",

month = aug,

day = "11",

doi = "10.1109/CIEEC54735.2022.9845925",

language = "English",

isbn = "9781665411059 (PoD)",

series = "China International Electrical and Energy Conference (CIEEC)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1912--1917",

booktitle = "2022 IEEE 5th International Electrical and Energy Conference (CIEEC)",

}

Liu, K, Li, J, Zhu, C, Chen, T, Li, K, Zhou, Q & Xu, H 2022, Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. in 2022 IEEE 5th International Electrical and Energy Conference (CIEEC)., 9845925, China International Electrical and Energy Conference (CIEEC), Institute of Electrical and Electronics Engineers (IEEE), pp. 1912-1917, 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 27/05/22. https://doi.org/10.1109/CIEEC54735.2022.9845925

Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. / Liu, Kailong; Li, Ji; Zhu, Chong et al.
2022 IEEE 5th International Electrical and Energy Conference (CIEEC). Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 1912-1917 9845925 (China International Electrical and Energy Conference (CIEEC)).

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

TY - GEN

T1 - Electrothermally-aware multi-objective modular design

T2 - 2022 IEEE 5th International Electrical and Energy Conference (CIEEC)

AU - Liu, Kailong

AU - Li, Ji

AU - Zhu, Chong

AU - Chen, Tao

AU - Li, Kang

AU - Zhou, Quan

AU - Xu, Hongming

PY - 2022/8/11

Y1 - 2022/8/11

N2 - This paper introduces an effective modular design solution for series-parallel hybrid propulsion systems (HPSs) based on a battery electrothermal model and a temperature-related sub-objective to consider both the battery electrical and thermal behaviors. To ensure that more optimal design options are provided, a Pareto-augmented collaborative optimization (PACO)-based framework is proposed to integrate three multiobjective evolutionary algorithms (MOEAs), aiming to expand the distribution of the Pareto frontier. Furthermore, two real driving cycles obtained from worldwide harmonized light vehicles are utilized to evaluate the performance of the optimized vehicle systems. The results show that the decomposed MOEA (MOEA/D) within PACO is the main contributor to the performance improvement in the modular design of HPSs, which leads to the reduction of generational distance by over 2.7% and the increase of the hypervolume by over 17.6%, in comparison with two state-of-the-art evolutionary algorithms.

AB - This paper introduces an effective modular design solution for series-parallel hybrid propulsion systems (HPSs) based on a battery electrothermal model and a temperature-related sub-objective to consider both the battery electrical and thermal behaviors. To ensure that more optimal design options are provided, a Pareto-augmented collaborative optimization (PACO)-based framework is proposed to integrate three multiobjective evolutionary algorithms (MOEAs), aiming to expand the distribution of the Pareto frontier. Furthermore, two real driving cycles obtained from worldwide harmonized light vehicles are utilized to evaluate the performance of the optimized vehicle systems. The results show that the decomposed MOEA (MOEA/D) within PACO is the main contributor to the performance improvement in the modular design of HPSs, which leads to the reduction of generational distance by over 2.7% and the increase of the hypervolume by over 17.6%, in comparison with two state-of-the-art evolutionary algorithms.

KW - Evolutionary computation

KW - Propulsion

KW - Numerical simulation

KW - Robustness

KW - Batteries

KW - Numerical models

KW - Hybrid electric vehicles

KW - Battery electrothermal dynamics

KW - plug-in hybrid electric vehicle

KW - multi-objective evolutionary algorithm

KW - modular design

UR - http://www.scopus.com/inward/record.url?scp=85137370565&partnerID=8YFLogxK

U2 - 10.1109/CIEEC54735.2022.9845925

DO - 10.1109/CIEEC54735.2022.9845925

M3 - Conference contribution

SN - 9781665411059 (PoD)

T3 - China International Electrical and Energy Conference (CIEEC)

SP - 1912

EP - 1917

BT - 2022 IEEE 5th International Electrical and Energy Conference (CIEEC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 27 May 2022 through 29 May 2022

ER -

Liu K, Li J, Zhu C, Chen T, Li K, Zhou Q et al. Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems. In 2022 IEEE 5th International Electrical and Energy Conference (CIEEC). Institute of Electrical and Electronics Engineers (IEEE). 2022. p. 1912-1917. 9845925. (China International Electrical and Energy Conference (CIEEC)). doi: 10.1109/CIEEC54735.2022.9845925

Electrothermally-aware multi-objective modular design: a case study on series-parallel hybrid propulsion systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this