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Abstract

Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.
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Bibliography

  1.  J.J. Hu, B. Mei, H. Peng, and X.Y. Jiang, “Optimization design and analysis for a single motor hybrid powertrain configuration with dual planetary gears”, Appl. Sci. 9(4), 707 (2019).
  2.  S.H. Wang, S. Zhang, D.H. Shi, X.Q. Sun, and J.Q. He, “Research on instantaneous optimal control of the hybrid electric vehicle with planetary gear sets”, J. Braz. Soc. Mech. Sci. Eng. 41(1), 51 (2019).
  3.  J. Kim, J. Kang, Y. Kim, T. Kim, B. Min, and H. Kim, “Design of power split transmission: design of dual mode power split transmission”, Int. J. Automot. Technol. 11(4), 565‒571 (2010).
  4.  F. Wang, J. Zhang, X. Xu, Y.F. Cai, Z.G. Zhou, and X.Q. Sun, “New method for power allocation of multi-power sources considering speed-up transient vibration of planetary power-split HEVs driveline system”, Mech. Syst. Sig. Process. 128, 1‒18 (2019).
  5.  J.M. Miller, “Hybrid electric vehicle propulsion system architectures of the E-CVT type”, IEEE Trans. Power Electron. 21(3), 756‒767 (2006).
  6.  D.H. Shi, S.H. Wang, P. Pisu, L. Chen, R.C. Wang, and R.G. Wang, “Modeling and optimal energy management of a power split hybrid electric vehicle”, Sci. China Technol. Sci. 60(5), 1‒13 (2017).
  7.  J.D. Wishart, L. Zhou, and Z. Dong, “Review, modelling and simulation of two-mode hybrid vehicle architecture”, Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Nevada, USA, 2007, pp. 1091‒1112.
  8.  L. Chen, F.T. Zhu, M.M. Zhang, Y. Huo, C.L. Yin, and H. Peng, “Design and analysis of an electrical variable transmission for a series– parallel hybrid electric vehicle”, IEEE Trans. Veh. Technol. 60(5), 2354‒2363 (2011).
  9.  P. Aishwarya and O.B. Hari, “A review of optimal energy management strategies for hybrid electric vehicle”, Int. J. Veh. Tech. 160510 (2014).
  10.  B.L.C. Cezar and O. Alexandru, “A dynamic programming control strategy for HEV”, Appl. Mech. Mater. 263, 541‒544 (2013).
  11.  J. Park, “Development of equivalent fuel consumption minimization strategy for hybrid electric vehicles”, Int. J. Automot. Technol. 13(5), 835‒843 (2012).
  12.  D.H. Shi, P. Pisu, and L. Chen, “Control design and fuel economy investigation of power split HEV with energy regeneration of suspension”, Appl. Energy. 182, 576‒589 (2016).
  13.  T. Tarczewski, M. Skiwski, L.J. Niewiara, and L.M. Grzesiak, “High-performance PMSM servo-drive with constrained state feedback position controller”, Bull. Pol. Acad. Sci. Tech. Sci. 66(1), 49‒58 (2018).
  14.  H. Borhan, A. Vahidi, A.M. Phillips, M.L. Kuang, I.V. Kolmanovsky, and S.D. Cairano, “MPC-based energy management of a power-split hybrid electric vehicle”, IEEE Trans. Control Syst. Technol. 20(3), 593‒603 (2012).
  15.  A. Babiarz, A. Czornik, J. Klamka, and M. Niezabitowski, “The selected problems of controllability of discrete-time switched linear systems with constrained switching rule”, Bull. Pol. Acad. Sci. Tech. Sci. 63(3), 657‒666 (2015).
  16. [6]  S.G. Olsen and G.M. Bone, “Model-based control of three degrees of freedom robotic bulldozing”, J. Dyn. Syst. Meas. Control. 136(136), 729‒736 (2014).
  17.  X.Q. Sun, Y.F. Cai, S.H. Wang, X. Xu, and L. Chen, “Optimal control of intelligent vehicle longitudinal dynamics via hybrid model predictive control”, Rob. Auton. Syst. 112, 190‒200 (2019).
  18.  S.G. Olsen and G.M. Bone, “Development of a hybrid dynamic model and experimental identification of robotic bulldozing”, J. Dyn. Syst. Meas. Control. 135(2), 450‒472 (2013).
  19.  F.T. Zhu, L. Chen, and C.L. Yin, “Design and analysis of a novel multimode transmission for a hev using a single electric machine”, IEEE Trans. Veh. Technol. 62(3), 1097‒1110 (2013).
  20.  R.J. Zhang and Y.B. Chen, “Control of hybrid dynamical systems for electric vehicles”, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), Arlington, VA, USA, 2001, pp. 2884‒2889.
  21.  J. Lygeros, S. Sastry, and C. Tomlin, Hybrid Systems: foundations, advanced topics and applications, University of California, Berkeley, 2012.
  22.  X.Q. Sun, Y.F. Cai, S.H. Wang, X.Xu, and L. Chen, “Piecewise affine identification of tire longitudinal properties for autonomous driving control based on data-driven”, IEEE Access 6, 47424‒47432 (2018).
  23.  A. Bemporad, A. Garulli, S. Paoletti, and A. Vicino, “A bounded-error approach to piecewise affine system identification”, IEEE Trans. Autom. Control. 50(10), 1567‒1580 (2005).
  24.  G. Ferrari-Trecate, M. Muselli, and D. Liberati, “A clustering technique for the identification of piecewise affine systems”, Automatica. 39(2), 205‒217 (2003).
  25.  F.D. Torrisi and A. Bemporad, “Hysdel-a tool for generating computational hybrid models for analysis and synthesis problems”, IEEE Trans. Control Syst. Technol. 12(2), 235‒249 (2004).
  26.  M. Abdullah and M. Idres, “Constrained model predictive control of proton exchange membrane fuel cell”, J. Mech. Sci. Technol. 28(9), 3855‒3862 (2014).
  27.  D. Jolevski and O. Bego, “Model predictive control of gantry/bridge crane with anti-sway algorithm”, J. Mech. Sci. Technol. 29(2), 827‒834 (2015).
  28.  G. Ripaccioli, A. Bemporad, F. Assadian, C. Dextreit, S.D. Cairano, and I.V. Kolmanovsky, “Hybrid modeling, identification, and predictive control: An application to hybrid electric vehicle energy management”, International conference on hybrid systems computation and control(HSCC), San Francisco, CA, USA, 2009, pp. 321‒335.
  29.  A. Bemporad and D. Mignone, “Miqp.m: a matlab function for solving mixed integer quadratic programs version 1.02 user guide”, ETH–Swiss Federal Institute of Technology, ETHZ–ETL, (2000).
  30.  M. Tutuianu et al., “Development of the World-wide harmonized Light duty Test Cycle (WLTC) and a possible pathway for its introduction in the European legislation”, Transp. Res. Part D Transp. Environ. 40, 61‒75 (2015).
  31.  N. Kim, S.W. Cha, and H. Peng, “Optimal equivalent fuel consumption for hybrid electric vehicles”, IEEE Trans. Control Syst. Technol. 20(3), 817‒825 (2011).
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Authors and Affiliations

Shaohua Wang
1
Sheng Zhang
1
Dehua Shi
1 2 3
Xiaoqiang Sun
1
Tao Yang
3
ORCID: ORCID

  1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
  2. Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China
  3. Jiangsu Chunlan Clean Energy Research Institute Co., Ltd., Taizhou 225300, China

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