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Robust mode transition control of four-wheel-drive hybrid electric vehicles based on radial basis function neural network estimation-a simulation study

Robust mode transition control of four-wheel-drive hybrid electric vehicles based on radial basis... The flexible mode transitions, multiple power sources and system uncertainty lead to challenges for mode transition control of four-wheel-drive hybrid powertrain. Therefore, the purpose of this paper is to improve dynamic performance and fuel economy in mode transition process for four-wheel-drive hybrid electric vehicles (HEVs), overcoming the influence of system uncertainty.Design/methodology/approachFirst, operation modes and transitions are analyzed and then dynamic models during mode transition process are established. Second, a robust mode transition controller based on radial basis function neural network (RBFNN) is proposed. RBFNN is designed as an uncertainty estimator to approximate lumped model uncertainty due to modeling error. Based on this estimator, a sliding mode controller (SMC) is proposed in clutch slipping phase to achieve clutch speed synchronization, despite disturbance of engine torque error, engine resistant torque and clutch torque. Finally, simulations are carried out on MATLAB/Cruise co-platform.FindingsCompared with routine control and SMC, the proposed robust controller can achieve better performance in clutch slipping time, engine torque error, vehicle jerk and slipping work either in nominal system or perturbed system.Originality/valueThe mode transition control of four-wheel-drive HEVs is investigated, and a robust controller based on RBFNN estimation is proposed. Compared results show that the proposed controller can improve dynamic performance and fuel economy effectively in spite of the existence of uncertainty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: Theinternational Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

Robust mode transition control of four-wheel-drive hybrid electric vehicles based on radial basis function neural network estimation-a simulation study

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0332-1649
DOI
10.1108/compel-10-2020-0344
Publisher site
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Abstract

The flexible mode transitions, multiple power sources and system uncertainty lead to challenges for mode transition control of four-wheel-drive hybrid powertrain. Therefore, the purpose of this paper is to improve dynamic performance and fuel economy in mode transition process for four-wheel-drive hybrid electric vehicles (HEVs), overcoming the influence of system uncertainty.Design/methodology/approachFirst, operation modes and transitions are analyzed and then dynamic models during mode transition process are established. Second, a robust mode transition controller based on radial basis function neural network (RBFNN) is proposed. RBFNN is designed as an uncertainty estimator to approximate lumped model uncertainty due to modeling error. Based on this estimator, a sliding mode controller (SMC) is proposed in clutch slipping phase to achieve clutch speed synchronization, despite disturbance of engine torque error, engine resistant torque and clutch torque. Finally, simulations are carried out on MATLAB/Cruise co-platform.FindingsCompared with routine control and SMC, the proposed robust controller can achieve better performance in clutch slipping time, engine torque error, vehicle jerk and slipping work either in nominal system or perturbed system.Originality/valueThe mode transition control of four-wheel-drive HEVs is investigated, and a robust controller based on RBFNN estimation is proposed. Compared results show that the proposed controller can improve dynamic performance and fuel economy effectively in spite of the existence of uncertainty.

Journal

COMPEL: Theinternational Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing

Published: Oct 8, 2021

Keywords: Robust control; RBFNN estimation; SMC; Mode transition; Four-wheel-drive HEVs; Control systems; Mechatronics; Robust adaptive control; Network topology

References

  • A robust stability control system for a hybrid electric vehicle equipped with electric rear axle drive
    Alcantar, J.V.; Assadian, F.
  • Torque coordination control of hybrid electric vehicles based on hybrid dynamical system theory
    Fu, X.; Zhang, Q.; Wang, C.; Tang, J.
  • Drivability analysis of through-the-road-parallel hybrid vehicles
    Galvagno, E.; Morina, D.; Sorniotti, A.; Velardocchia, M.
  • Development of a traction control system using a special type of sliding mode controller for hybrid 4WD vehicles
    Han, K.; Choi, M.; Lee, B.; Choi Seibum, B.
  • Optimised adaptive control methodology for mode transition of hybrid electric vehicle based on the dynamic characteristics analysis
    He, R.; Yan, Y.; Hu, D.
  • Linear and non-linear methods to analyse the drivability of a through-the-road parallel hybrid electric vehicle
    Holdstock, T.; Sorniotti, A.; Suryanto; Shead, L.
  • Modeling for drivability and drivability improving control of HEV
    Jauch, C.; Tamilarasan, S.; Bovee, K.
  • A novel four-wheel-drive hybrid electric sport utility vehicle with double planetary gears
    Ju, F.; Zhuang, W.; Wang, L.
  • Optimal sizing and adaptive energy management of a novel four-wheel-drive hybrid powertrain
    Ju, F.; Zhuang, W.; Wang, L.
  • Mode transition control using disturbance compensation for a parallel hybrid electric vehicle
    Kim, H.; Kim, J.; Lee, H.
  • Torque-leveling threshold-changing rule-based control for parallel hybrid electric vehicles
    Li, X.; Evangelou, S.A.
  • An energy conservation strategy based on drive mode switching for multi-axle in-wheel motor driven vehicle
    Li, J.; Sen, Y.; Li, Z.
  • Drivability improving control during mode transition process of through-the-road hybrid electric vehicles
    Li, L.; Fazhan, T.; Zhumu, F.
  • Adaptive torque tracking control during slip engagement of a dry clutch in vehicle powertrain
    Park, J.; Choi, S.B.; Oh, J.
  • Management of hybrid powertrain dynamics and energy consumption for 2WD, 4WD, and HMMWV vehicles
    Raslavičius, L.; Keršys, A.; Makaras, R.
  • Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
    Sabri, M.F.; Danapalasingam, K.A.; Rahmat, M.F.
  • Feed-forward modeling and real-time implementation of an intelligent fuzzy logic-based energy management strategy in a seriesCparallel hybrid electric vehicle to improve fuel economy
    Singh, K.V.; Bansal, H.O.; Singh, D.
  • Analysis of torque ripple and fault-tolerant capability for a 16/10 segmented switched reluctance motor in HEV applications
    Sun, X.; Wu, J.; Wang, S.
  • Vehicle dynamics control of an electric-all-wheel-drive hybrid electric vehicle using tyre force optimisation and allocation
    Velazquez Alcantar, J.; Assadian, F.
  • Review on multi-power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process
    Wang, J.; Cai, Y.; Chen, L.
  • Cyber-physical predictive energy management for through-the-road hybrid vehicles
    Wang, H.; Huang, Y.; Soltani, A.
  • Hierarchical optimal intelligent energy management strategy for a power-split hybrid electric bus based on driving information
    Wang, Y.; Zeng, X.; Song, D.
  • Control strategy of mode transition with engine start in a plug-in hybrid electric bus
    Yang, Y.; Zhang, Y.; Zhang, S.
  • A robust H ∞ control-based hierarchical mode transition control system for plug-in hybrid electric vehicle
    Yang, C.; Jiao, X.; Li, L.
  • Optimal control of mode transition for four-wheel-drive hybrid electric vehicle with dry dual-clutch transmission
    Zhao, Z.; Lei, D.; Chen, J.
  • Distributed and self-adaptive vehicle speed estimation in the composite braking case for four-wheel drive hybrid electric car
    Zhao, Z.; Zhou, L.J.; Zhang, J.T.
  • A survey of powertrain configuration studies on hybrid electric vehicles
    Zhuang, W.; Li, S.; Zhang, X.
  • Mode shift schedule and control strategy design of multimode hybrid powertrain
    Zhuang, W.; Zhang, X.; Yin, G.