|
|
Lightweight design of an electric bus body structure with analytical target cascading |
Puyi WANG1,2, Yingchun BAI1, Chuanliang FU1, Cheng LIN1 |
1. National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China 2. Northwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China |
|
|
Abstract Lightweight designs of new-energy vehicles can reduce energy consumption, thereby improving driving mileage. In this study, a lightweight design of a newly developed multi-material electric bus body structure is examined in combination with analytical target cascading (ATC). By proposing an ATC-based two-level optimization strategy, the original lightweight design problem is decomposed into the system level and three subsystem levels. The system-level optimization model is related to mass minimization with all the structural modal frequency constraints, while each subsystem-level optimization model is related to the sub-structural performance objective with sub-structure mass constraints. To enhance the interaction between two-level systems, each subsystem-level objective is reformulated as a penalty-based function coordinated with the system-level objective. To guarantee the accuracy of the model-based analysis, a finite element model is validated through experimental modal test. A sequential quadratic programming algorithm is used to address the defined optimization problem for effective convergence. Compared with the initial design, the total mass is reduced by 49 kg, and the torsional stiffness is increased by 17.5%. In addition, the obtained design is also validated through strength analysis.
|
Keywords
electric vehicle
body in white (BIW)
lightweight
analytical target cascading (ATC)
|
Corresponding Author(s):
Yingchun BAI
|
About author: Changjian Wang and Zhiying Yang contributed equally to this work. |
Just Accepted Date: 30 June 2022
Issue Date: 02 March 2023
|
|
1 |
A C Olivera , J M García-Nieto , E Alba . Reducing vehicle emissions and fuel consumption in the city by using particle swarm optimization. Applied Intelligence, 2015, 42(3): 389–405
https://doi.org/10.1007/s10489-014-0604-3
|
2 |
L Li , X Y Wang , J Song . Fuel consumption optimization for smart hybrid electric vehicle during a car following process. Mechanical Systems and Signal Processing, 2017, 87(1): 17–29
https://doi.org/10.1016/j.ymssp.2016.03.002
|
3 |
C L Fu , Y C Bai , C Lin , W W Wang . Design optimization of a newly developed aluminum steel multi-material electric bus body structure. Structural and Multidisciplinary Optimization, 2019, 60(5): 2177–2187
https://doi.org/10.1007/s00158-019-02292-w
|
4 |
L B Duan , H B Jiang , H H Li , N C Xiao . Crashworthiness optimization of VRB thin-walled structures under manufacturing constraints by the eHCA-VRB algorithm. Applied Mathematical Modelling, 2020, 80: 126–150
https://doi.org/10.1016/j.apm.2019.11.030
|
5 |
J Sobieszczanski-Sobieski , S Kodiyalam , R Y Yang . Optimization of car body under constraints of noise, vibration, and harshness (NVH), and crash. Structural and Multidisciplinary Optimization, 2001, 22(4): 295–306
https://doi.org/10.1007/s00158-001-0150-6
|
6 |
T Ide , M Otomori , J P Leiva , B C Watson . Structural optimization methods and techniques to design light and efficient automatic transmission of vehicles with low radiated noise. Structural and Multidisciplinary Optimization, 2014, 50(6): 1137–1150
https://doi.org/10.1007/s00158-014-1143-6
|
7 |
H Y Wang , H Xie . Multi-objective optimization of crashworthiness of vehicle front longitudinal beam. Structural and Multidisciplinary Optimization, 2020, 61(5): 2111–2123
https://doi.org/10.1007/s00158-019-02459-5
|
8 |
F Xiong , X H Zou , Z G Zhang , X H Shi . A systematic approach for multi-objective lightweight and stiffness optimization of a car body. Structural and Multidisciplinary Optimization, 2020, 62(6): 3229–3248
https://doi.org/10.1007/s00158-020-02674-5
|
9 |
M Kiani , A R Yildiz . A comparative study of non-traditional methods for vehicle crashworthiness and NVH optimization. Archives of Computational Methods in Engineering, 2016, 23(4): 723–734
https://doi.org/10.1007/s11831-015-9155-y
|
10 |
N Aulig , E Nutwell , S Menzel , D Detwiler . Preference-based topology optimization for vehicle concept design with concurrent static and crash load cases. Structural and Multidisciplinary Optimization, 2018, 57(1): 251–266
https://doi.org/10.1007/s00158-017-1751-z
|
11 |
D F Wang , C Xie , Y C Liu , W C Xu , Q Chen . Multi-objective collaborative optimization for the lightweight design of an electric bus body frame. Automotive Innovation, 2020, 3(3): 250–259
https://doi.org/10.1007/s42154-020-00105-1
|
12 |
Y Jung , S Lim , J Kim , S Min . Lightweight design of electric bus roof structure using multi-material topology optimization. Structural and Multidisciplinary Optimization, 2020, 61(3): 1273–1285
https://doi.org/10.1007/s00158-019-02410-8
|
13 |
H G Ou , X D Tang , J P Xiao , Y B Wang , Z M Ma . Lightweight body-in-white design driven by optimization technology. Automotive Innovation, 2018, 1(3): 255–262
https://doi.org/10.1007/s42154-018-0032-x
|
14 |
C Li , I Y Kim , J Jeswiet . Conceptual and detailed design of an automotive engine cradle by using topology, shape, and size optimization. Structural and Multidisciplinary Optimization, 2015, 51(2): 547–564
https://doi.org/10.1007/s00158-014-1151-6
|
15 |
H Qin , Z J Liu , H L Zhong , Y Liu , C Lv . Two-level multiple cross-sectional shape optimization of automotive body frame with exact static and dynamic stiffness constraints. Structural and Multidisciplinary Optimization, 2018, 58(5): 2309–2323
https://doi.org/10.1007/s00158-018-2025-0
|
16 |
C Xie , D F Wang . Multi-objective cross-sectional shape and size optimization of S-rail using hybrid multi-criteria decision-making method. Structural and Multidisciplinary Optimization, 2020, 62(6): 3477–3492
https://doi.org/10.1007/s00158-020-02651-y
|
17 |
W J Zuo . Bi-level optimization for the cross-sectional shape of a thin-walled car body frame with static stiffness and dynamic frequency stiffness constraints. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2015, 229(8): 1046–1059
https://doi.org/10.1177/0954407014551585
|
18 |
S De , K Singh , J Seo , R K Kapania , E Ostergaard , N Angelini , R Aguero . Lightweight chassis design of hybrid trucks considering multiple road conditions and constraints. World Electric Vehicle Journal, 2021, 12(1): 3
https://doi.org/10.3390/wevj12010003
|
19 |
S B Lu , H G Ma , L Xin , W J Zuo . Lightweight design of bus frames from multi-material topology optimization to cross-sectional size optimization. Engineering Optimization, 2019, 51(6): 961–977
https://doi.org/10.1080/0305215X.2018.1506770
|
20 |
J T Bai , Y W Li , W J Zuo . Cross-sectional shape optimization for thin-walled beam crashworthiness with stamping constraints using genetic algorithm. International Journal of Vehicle Design, 2017, 73(1–3): 76–95
https://doi.org/10.1504/IJVD.2017.082582
|
21 |
W Zhong , R Y Su , L J Gui , Z J Fan . Multi-objective topology and sizing optimization of bus body frame. Structural and Multidisciplinary Optimization, 2016, 54(3): 701–714
https://doi.org/10.1007/s00158-016-1431-4
|
22 |
J Chen , Y J Wu , L M Zhang , X L He , S J Dong . Dynamic optimization design of the suspension parameters of car body-mounted equipment via analytical target cascading. Journal of Mechanical Science and Technology, 2020, 34(5): 1957–1969
https://doi.org/10.1007/s12206-020-0417-8
|
23 |
Z G Guo , Y F Zhang , X B Zhao , X Y Song . CPS-based self-adaptive collaborative control for smart production-logistics systems. IEEE Transactions on Cybernetics, 2021, 51(1): 188–198
https://doi.org/10.1109/TCYB.2020.2964301
|
24 |
P Guarneri , M Gobbi , P Y Papalambros . Efficient multilevel design optimization using analytical target cascading and sequential quadratic programming. Structural and Multidisciplinary Optimization, 2011, 44(3): 351–362
https://doi.org/10.1007/s00158-011-0630-2
|
25 |
S DorMohammadi , M Rais-Rohani . Exponential penalty function formulation for multilevel optimization using the analytical target cascading framework. Structural and Multidisciplinary Optimization, 2013, 47(4): 599–612
https://doi.org/10.1007/s00158-012-0861-x
|
26 |
H M Kim , W Chen , M M Wiecek . Lagrangian coordination for enhancing the convergence of analytical target cascading. AIAA Journal, 2006, 44(10): 2197–2207
https://doi.org/10.2514/1.15326
|
27 |
L F Etman , M Kokkolaras , A T Hofkamp , P Y Papalambros , J E Rooda . Coordination specification in distributed optimal design of multilevel systems using the χ language. Structural and Multidisciplinary Optimization, 2005, 29(3): 198–212
https://doi.org/10.1007/s00158-004-0467-z
|
28 |
T Qu , G Q Huang , V D Cung , F Mangione . Optimal configuration of assembly supply chains using analytical target cascading. International Journal of Production Research, 2010, 48(23): 6883–6907
https://doi.org/10.1080/00207540903307631
|
29 |
K Ramakrishnan , G Mastinu , M Gobbi . Multidisciplinary design of electric vehicles based on hierarchical multi-objective optimization. Journal of Mechanical Design, 2019, 141(9): 091404
https://doi.org/10.1115/1.4043840
|
30 |
H M Kim , D G Rideout , P Y Papalambros , J L Stein . Analytical target cascading in automotive vehicle design. Journal of Mechanical Design, 2003, 125(3): 481–489
https://doi.org/10.1115/1.1586308
|
31 |
T W Cui , W Z Zhao , C Y Wang , Y H Guo , H Y Zheng . Design optimization of a steering and suspension integrated system based on dynamic constraint analytical target cascading method. Structural and Multidisciplinary Optimization, 2020, 62(1): 419–437
https://doi.org/10.1007/s00158-019-02472-8
|
32 |
V Y Blouin , G M Fadel , I Q Haque , J R Wagner , H B Samuels . Continuously variable transmission design for optimum vehicle performance by analytical target cascading. International Journal of Heavy Vehicle Systems, 2004, 11(3–4): 327–348
https://doi.org/10.1504/IJHVS.2004.005454
|
33 |
N Kang , M Kokkolaras , P Y Papalambros , S Yoo , W Na , J Park , D Featherman . Optimal design of commercial vehicle systems using analytical target cascading. Structural and Multidisciplinary Optimization, 2014, 50(6): 1103–1114
https://doi.org/10.1007/s00158-014-1097-8
|
34 |
H M Kim , N F Michelena , P Y Papalambros , T Jiang . Target cascading in optimal system design. Journal of Mechanical Design, 2003, 125(3): 474–480
https://doi.org/10.1115/1.1582501
|
35 |
R Choudhary , A Malkawi , P Y Papalambros . Analytical target cascading in simulation-based building design. Automation in Construction, 2005, 14(4): 551–568
https://doi.org/10.1016/j.autcon.2004.11.004
|
36 |
Z J Li , M Kokkolaras , P Y Papalambros , S J Hu . Product and process tolerance allocation in compliant multi-station assembly using analytical target cascading. Journal of Mechanical Design, 2008, 130(9): 091701
https://doi.org/10.1115/1.2943296
|
37 |
S Tosserams , L F P Etmanl , P Y Papalambros , J E Rooda . An augmented Lagrangian relaxation for analytical target cascading using the alternating direction method of multipliers. Structural and Multidisciplinary Optimization, 2006, 31(3): 176–189
https://doi.org/10.1007/s00158-005-0579-0
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|