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Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
art. no. e137064
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
  • Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
autor
  • Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
autor
  • Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
  • Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China
  • Jiangsu Chunlan Clean Energy Research Institute Co., Ltd., Taizhou 225300, China
  • Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
autor
  • Jiangsu Chunlan Clean Energy Research Institute Co., Ltd., Taizhou 225300, China
Bibliografia
  • [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] 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).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e85ffe47-8ea6-4eba-ac00-6772399c8271
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