The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption

Jiwei Liu; Junqiu Li; Ruichuan Wei; Meng Qiu

doi:10.1109/CCDC52312.2021.9602516

The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption

Jiwei Liu
, Junqiu Li^*
, Ruichuan Wei
, Meng Qiu

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology
Ltd.

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

1 Citation (Scopus)

Abstract

The distributed hybrid truck which carries the hub motor driving system has advantages of high efficiency, high controllability and high integration. It also shows potential to reducing energy consumption and range anxiety, becoming one of the future development trends of commercial vehicles. However, due to the large number of chassis components and the complex power units, the problem of economy has too many dimensions to find the optimal solution. In this paper, reasonable chassis configurations are selected and a distributed hybrid truck model is established. Then this paper classifies the working conditions into three types by using the historical test data, while divides the sample working conditions and extracts the features. Giving priority to energy consumption, the global optimal chassis configuration for each working condition is obtained based on the dynamic programming (DP) algorithm. Then the sample working conditions and the matching chassis configurations are used to train the long short-term memory (LSTM) neural network to study the relationship between the working condition and the corresponding optimal chassis configuration. Finally, concludes the whole paper and points out the direction of future work.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	540-545
Number of pages	6
ISBN (Electronic)	9781665440899
DOIs	https://doi.org/10.1109/CCDC52312.2021.9602516
Publication status	Published - 2021
Event	33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China Duration: 22 May 2021 → 24 May 2021

Publication series

Name	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference	33rd Chinese Control and Decision Conference, CCDC 2021
Country/Territory	China
City	Kunming
Period	22/05/21 → 24/05/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Chassis Configuration
DP
Distributed Hybrid Truck
LSTM
Working Condition

Access to Document

10.1109/CCDC52312.2021.9602516

Cite this

Liu, J., Li, J., Wei, R., & Qiu, M. (2021). The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 (pp. 540-545). (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC52312.2021.9602516

Liu, Jiwei ; Li, Junqiu ; Wei, Ruichuan et al. / The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 540-545 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

@inproceedings{1007ee0b43ac4799a57a244daf82173c,

title = "The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption",

abstract = "The distributed hybrid truck which carries the hub motor driving system has advantages of high efficiency, high controllability and high integration. It also shows potential to reducing energy consumption and range anxiety, becoming one of the future development trends of commercial vehicles. However, due to the large number of chassis components and the complex power units, the problem of economy has too many dimensions to find the optimal solution. In this paper, reasonable chassis configurations are selected and a distributed hybrid truck model is established. Then this paper classifies the working conditions into three types by using the historical test data, while divides the sample working conditions and extracts the features. Giving priority to energy consumption, the global optimal chassis configuration for each working condition is obtained based on the dynamic programming (DP) algorithm. Then the sample working conditions and the matching chassis configurations are used to train the long short-term memory (LSTM) neural network to study the relationship between the working condition and the corresponding optimal chassis configuration. Finally, concludes the whole paper and points out the direction of future work.",

keywords = "Chassis Configuration, DP, Distributed Hybrid Truck, LSTM, Working Condition",

author = "Jiwei Liu and Junqiu Li and Ruichuan Wei and Meng Qiu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd Chinese Control and Decision Conference, CCDC 2021 ; Conference date: 22-05-2021 Through 24-05-2021",

year = "2021",

doi = "10.1109/CCDC52312.2021.9602516",

language = "English",

series = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

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

pages = "540--545",

booktitle = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

address = "United States",

}

Liu, J, Li, J, Wei, R & Qiu, M 2021, The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption. in Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 540-545, 33rd Chinese Control and Decision Conference, CCDC 2021, Kunming, China, 22/05/21. https://doi.org/10.1109/CCDC52312.2021.9602516

The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption. / Liu, Jiwei; Li, Junqiu; Wei, Ruichuan et al.
Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 540-545 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

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

TY - GEN

T1 - The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption

AU - Liu, Jiwei

AU - Li, Junqiu

AU - Wei, Ruichuan

AU - Qiu, Meng

PY - 2021

Y1 - 2021

N2 - The distributed hybrid truck which carries the hub motor driving system has advantages of high efficiency, high controllability and high integration. It also shows potential to reducing energy consumption and range anxiety, becoming one of the future development trends of commercial vehicles. However, due to the large number of chassis components and the complex power units, the problem of economy has too many dimensions to find the optimal solution. In this paper, reasonable chassis configurations are selected and a distributed hybrid truck model is established. Then this paper classifies the working conditions into three types by using the historical test data, while divides the sample working conditions and extracts the features. Giving priority to energy consumption, the global optimal chassis configuration for each working condition is obtained based on the dynamic programming (DP) algorithm. Then the sample working conditions and the matching chassis configurations are used to train the long short-term memory (LSTM) neural network to study the relationship between the working condition and the corresponding optimal chassis configuration. Finally, concludes the whole paper and points out the direction of future work.

AB - The distributed hybrid truck which carries the hub motor driving system has advantages of high efficiency, high controllability and high integration. It also shows potential to reducing energy consumption and range anxiety, becoming one of the future development trends of commercial vehicles. However, due to the large number of chassis components and the complex power units, the problem of economy has too many dimensions to find the optimal solution. In this paper, reasonable chassis configurations are selected and a distributed hybrid truck model is established. Then this paper classifies the working conditions into three types by using the historical test data, while divides the sample working conditions and extracts the features. Giving priority to energy consumption, the global optimal chassis configuration for each working condition is obtained based on the dynamic programming (DP) algorithm. Then the sample working conditions and the matching chassis configurations are used to train the long short-term memory (LSTM) neural network to study the relationship between the working condition and the corresponding optimal chassis configuration. Finally, concludes the whole paper and points out the direction of future work.

KW - Chassis Configuration

KW - DP

KW - Distributed Hybrid Truck

KW - LSTM

KW - Working Condition

UR - https://www.scopus.com/pages/publications/85125176987

U2 - 10.1109/CCDC52312.2021.9602516

DO - 10.1109/CCDC52312.2021.9602516

M3 - Conference contribution

AN - SCOPUS:85125176987

T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

SP - 540

EP - 545

BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Chinese Control and Decision Conference, CCDC 2021

Y2 - 22 May 2021 through 24 May 2021

ER -

Liu J, Li J, Wei R, Qiu M. The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 540-545. (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). doi: 10.1109/CCDC52312.2021.9602516

The Optimal Chassis Configuration Matching for Distributed Hybrid Truck Working Conditions Based on Energy Consumption

Abstract

Publication series

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UN SDGs

Keywords

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