Abstract
The dual-motor coupling-propulsion electric vehicle (DMCP-EV) has the merit of favorable energy efficiency due to its multiple operation modes. In the driving process, the performance of the DMCP-EV depends greatly on the power distribution to meet various driving requests. A power distribution coefficient is optimized by using the genetic-Pareto algorithm (GA-Pareto) algorithm. In addition to this effort, a power distribution strategy based on tradeoff optimization with comprehensive consideration of energy efficiency and ride comfort is proposed. Then, the sensitive analysis of optimized performance is conducted to obtain the three appropriate GA-Pareto algorithm parameters. The benchmark strategies are conducted to validate the proposed tradeoff power distribution strategy and the comparisons of three preference strategies with the hardware-in-loop (HIL) validation are performed. Results of the simulation and HIL experiments demonstrate that the proposed control strategies can address the tradeoff between energy-efficient and ride comfort for DMCP-EV.
Issue Section:
Research Papers
Keywords:
electric vehicle,
dual-motor coupling-propulsion powertrain,
particle swarm optimization,
energy efficiency,
ride comfort,
GA-Pareto algorithm
Topics:
Algorithms,
Electric vehicles,
Engines,
Motors,
Optimization,
Propulsion,
Tradeoffs,
Economics
References
1.
Li
,
Z.
,
Khajepour
,
A.
, and
Song
,
J.
, 2019
, “
A Comprehensive Review of the Key Technologies for Pure Electric Vehicles
,” Energy
,
182
, pp. 824
–839
.10.1016/j.energy.2019.06.0772.
Hannan
,
M. A.
,
Hoque
,
M. M.
,
Mohamed
,
A.
, and
Ayob
,
A.
, 2017
, “
Review of Energy Storage Systems for Electric Vehicle Applications: Issues and Challenges
,” Renewable Sustainable Energy Rev.
,
69
, pp. 771
–789
.10.1016/j.rser.2016.11.1713.
M. Sabri
,
M. F.
,
Danapalasingam
,
K. A.
, and
Rahmat
,
M. F.
, 2016
, “
A Review on Hybrid Electric Vehicles Architecture and Energy Management Strategies
,” Renewable Sustainable Energy Rev.
,
53
, pp. 1433
–1442
.10.1016/j.rser.2015.09.0364.
Wu
,
J.
,
Liang
,
J.
,
Ruan
,
J.
,
Nong
,
Z.
, and
Walker
,
P. D.
, 2018
, “
Efficiency Comparison of Electric Vehicles Powertrains With Dual Motor and Single Motor Input
,” Mech. Mach. Theory
,
128
, pp. 569
–585
.10.1016/j.mechmachtheory.2018.07.0035.
Wang
,
W.
,
Shi
,
J.
,
Zhang
,
Z.
, and
Lin
,
C.
, 2018
, “
Optimization of a Dual-Motor Coupled Powertrain Energy Management Strategy for a Battery Electric Bus
,” Energy Procedia
,
145
, pp. 20
–25
.10.1016/j.egypro.2018.04.0056.
Hu
,
X.
,
Li
,
Y.
,
C
,
L.
, and
Liu
,
Y.
, 2019
, “
Optimal Energy Management and Sizing of a Dual Motor-Driven Electric Powertrain
,” IEEE Trans. Power Electron
,
38
(8
), pp. 7489
–7499
.10.1109/TPEL.2018.28792257.
Zhang
,
C.
,
Zhang
,
S.
,
Han
,
G.
, and
Liu
,
H.
, 2017
, “
Power Management Comparison for a Dual-Motor-Propulsion System Used in a Battery Electric Bus
,” IEEE Trans. Ind. Electron.
,
64
(5
), pp. 3873
–3882
.10.1109/TIE.2016.26451668.
Hu
,
M.
,
Zeng
,
J.
,
Xu
,
S.
,
Fu
,
C.
, and
Qin
,
D.
,. 2015
, “
Efficiency Study of a Dual-Motor Coupling EV Powertrain
,” IEEE Trans. Veh. Technol.
,
64
(6
), pp. 2252
–2260
.10.1109/TVT.2014.23473499.
Lin
,
X.
,
Wang
,
L.
, and
Zhai
,
L.
, 2019
, “
A Study on Minimum Instantaneous Energy Consumption Control Strategy of DM-EV Based on Mode Switching Prediction Algorithm
,” Automot. Eng.
,
41
(1
), pp. 14
–20
.10.19562/j.chinasae.qcgc.2019.01.00310.
Li
,
C.
,
Chen
,
W.
,
Zhao
,
L.
, and
Xiao
,
W.
, 2018
, “
Control Strategy of Dual-Motor EV Powertrain for Energy Consumption
,” Comput. Integr. Manuf. Syst.
,
24
(5
), pp. 1098
–1109
.10.13196/j.cims.2018.05.00411.
Zhao
,
Z.
,
Lei
,
D.
,
Chen
,
J.
, and
Li
,
H.
, 2018
, “
Optimal Control of Mode Transition for Four-Wheel-Drive Hybrid Electric Vehicle With Dry Dual-Clutch Transmission
,” Mech. Syst. Signal Process.
,
105
, pp. 68
–89
.10.1016/j.ymssp.2017.11.04112.
Wang
,
J.
,
Zhou
,
Y.
,
Yang
,
H.
,
Jia
,
J.
, and
Q
,
L.
, 2017
, “
Research on Dynamic Mode Transition of Hybrid Electric Vehicle Based on Continuously Variable Transmission
,” China Mech. Eng.
,
28
(10
), pp. 1253
–1259
.10.3969/j.issn.1004-132X.2017.10.01913.
Zeng
,
Y.
,
Huang
,
Z.
,
Cai
,
Y.
,
Liu
,
Y.
,
Xiao
,
Y.
, and
Shang
,
Y.
, 2018
, “
A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles
,” Sustainability
,
10
(11
), p. 4237.10.3390/su1011423714.
Zhang
,
S.
, and
Xiong
,
R.
, 2015
, “
Adaptive Energy Management of a Plug-in Hybrid Electric Vehicle Based on Driving Pattern Recognition and Dynamic Programming
,” Appl. Energy
,
155
, pp. 68
–78
.10.1016/j.apenergy.2015.06.00315.
Peng
,
J.
,
He
,
H.
, and
Xiong
,
R.
, 2017
, “
Rule Based Energy Management Strategy for a Series–Parallel Plug-In Hybrid Electric Bus Optimized by Dynamic Programming
,” Appl. Energy
,
185
, pp. 1633
–1643
.10.1016/j.apenergy.2015.12.03116.
Hu
,
J.
,
Zu
,
G.
,
Jia
,
M.
, and
Niu
,
X.
, 2019
, “
Parameter Matching and Optimal Energy Management for a Novel Dual-Motor Multi-Modes Powertrain System
,” Mech. Syst. Signal Process.
,
116
, pp. 113
–128
.10.1016/j.ymssp.2018.06.03617.
Song
,
Z.
,
Hofmann
,
H.
,
Li
,
J.
,
Wang
,
Y.
,
Lu
,
D.
,
Ouyang
,
M.
, and
Du
,
J.
, 2020
, “
Torque Distribution Strategy for Multi-PMSM Applications and Optimal Acceleration Control for Four-Wheel-Drive Electric Vehicles
,” ASME J. Dyn. Syst., Meas., Control
,
142
(2
), p. 021001
.10.1115/1.404532118.
Zhang
,
S.
,
Xiong
,
R.
, and
Zhang
,
C.
, 2015
, “
Pontryagin's Minimum Principle-Based Power Management of a Dual-Motor-Driven Electric Bus
,” Appl. Energy
,
159
, pp. 370
–380
.10.1016/j.apenergy.2015.08.12919.
Hu
,
M.
,
Chen
,
S.
, and
Zeng
,
J.
, 2017
, “
Coordinated Control for Mode–Shift of Dual–Motor Coupling Powertrain
,” J. Mech. Eng.
,
53
(14
), pp. 59
–67
.10.3901/JME.2017.14.05920.
Lin
,
X.
,
Zhang
,
G.
, and
Wei
,
S.
, 2021
, “
Velocity Prediction Using Markov Chain Combined With Driving Pattern Recognition and Applied to Dual-Motor Electric Vehicle Energy Consumption Evaluation
,” Appl. Soft Comput.
,
101
, p. 106998
.10.1016/j.asoc.2020.10699821.
Kwon
,
K.
,
Seo
,
M.
, and
Min
,
S.
, 2020
, “
Efficient Multi-Objective Optimization of Gear Ratios and Motor Torque Distribution for Electric Vehicles With Two-Motor and Two-Speed Powertrain System
,” Appl. Energy
,
259
(2020
), p. 114190
.10.1016/j.apenergy.2019.11419022.
Lin
,
X.
,
Lin
,
Z.
, and
Wei
,
S.
, 2021
, “
Multi-Objective Optimized Driving Strategy of Dual-Motor EVs Using NSGA-II as a Case Study and Comparison of Various Intelligent Algorithms
,” Appl. Soft Comput.
,
111
, p. 107684
.10.1016/j.asoc.2021.107684Copyright © 2022 by ASME
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