Abstract
This chapter presents a model-based strategy for a PHEV with the use of MPC concept. MPC appears to be an appropriate scheme to utilize contemporary concept potentials and to satisfy the automotive requisites, as most can be defined in the form of a constrained multi-input, multi-output optimal control problem, and MPC provides approximate resolution to this class of problems [7].
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References
Bitmead, R.R., Gevers, M., Wertz, V.: Adaptive Optimal Control: The Thinking Man’s GPC. Prentice Hall, Upper Saddle River (1990)
Ceraolo, M., di Donato, A., Franceschi, G.: A general approach to energy optimization of hybrid electric vehicles. IEEE Trans. Veh. Technol. 57, 1433–1441 (2008)
Chan, S.H., Hoang, D.L., Zhou, P.L.: Heat transfer and chemical kinetics in the exhaust system of a cold-start engine fitted with a three way catalytic converter. Proc. Inst. Mech. Eng. Part D J. Autom. Eng. 214, 765–777 (2000)
Chen, H., Allgower, F.: A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica 14, 1205–1217 (1998)
Clarke, D.W.: Advances in Model-Based Predictive Control. Oxford University Press, Oxford (1994)
de Oliveira Kothare, S.L., Morari, M.: Contractive model predictive control for constrained nonlinear systems. IEEE Trans. Autom. Control 45, 1053–1071 (2000)
Del Re, L., Allgower, F., Glielmo, L., Guardiola, C., Kolmanovsky, I.: Automotive Model Predictive Control: Models Methods and Applications. Springer, Heidelberg (2010)
Dorri, M., Shamekhi, A.: Design of an optimal control strategy in a parallel hybrid vehicle in order to simultaneously reduce fuel consumption and emissions. SAE Technical Paper No. 2011-01-0894 (2011)
Ferris, C.M., Mangasarian, O.L., Wright, S.J. : Linear programming with MATLAB. In: The Society for Industrial and Applied Mathematics and the Mathematical Programming Society, Philadelphia (2007)
Gao, Z., Kim, M., Choi, J., Daw, C.S., Parks II J.E., Smith, D.E.: Cold-start emissions control in hybrid vehicles equipped with a passive adsorber for hydrocarbons and nitrogen oxides. Proc. Inst. Mech. Eng. Part D (J. Automob. Eng.). 226, 1396–1407 (2012)
Guzzella, L., Sciarretta, A.: Vehicle Propulsion Systems: Introduction to Modeling and Optimization. Springer, Heidelberg (2007)
Keerthi, S.S., Gilbert, E.G.: Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: stability and moving-horizon approximations. J. Optim. Theory Appl. 57, 265–293 (1988)
Kolmanovsky, I., Nieuwstadt, M., Sun, J.: Optimization of complex powertrain systems for fuel economy and emissions. IEEE Int. Conf. Control Appl. 32, 833–839 (1999)
Kothare, M.V., Balakrishnan, V., Morari, M.: Robust constrained model predictive control using linear matrix inequalities. Automatica 32, 1361–1379 (1996)
Kum, D., Peng, H., Bucknor, N.K.: Optimal catalyst temperature management of plug-in hybrid electric vehicles. In: American Control Conference (ACC), pp. 2732–2738 (2011)
Kum, D., Peng, H., Bucknor, N.K.: Supervisory control of parallel hybrid electric vehicles for fuel and emission reduction. J. Dyn. Syst. Meas. Control 133, 833–839 (2011)
Lamberson, D.M.: Torque management of gasoline engines. M.Sc. Dissertation, University of California at Berkeley, Berkeley (CA) (2003)
Lee, J.H.: Model predictive control: review of the three decades of development. Int. J. Control Autom. Syst. 9, 415–424 (2011)
Lee, J.H., Yu, Z.: Worst-case formulation of model predictive control for systems with bounded parameters. Automatica 33, 415–424 (2011)
Lin, C.C., Peng, H., Grizzle, J.W., Kang, J.M.: Power management strategy for a parallel hybrid electric truck. IEEE Trans. Control Syst. Technol. 11, 839–849 (2003)
Marano, V., Tulpule P., Stockar, S., Onori, S., Rizzoni, G.: Comparative study of different control strategies for plug-in hybrid electric vehicles. SAE World Congress and Exhibition Detroit MI USA (2004)
Mayne, D., Michalska, H.: Receding horizon control of nonlinear systems. IEEE Trans. Autom. Control 35, 763–781 (1997)
Mosca, E.: Optimal, Predictive, and Adaptive Control. Prentice Hall, Upper Saddle River (1995)
Moura, S.J., Stein, J.L., Fathy, H.K.: Battery health-consious power management for plug-in hybrid vehicles via stochastic control. In: ASME Dynamic Systems and Control Conference (2010)
Muta K., Yamazaki, M., Tokieda, J.: Development of new-generation hybrid system THS IIDrastic improvement of power performance and fuel economy. SAE Paper No. 2004-01-0064 (2004)
Nicholas, K., Hedrick, K., Borrelli, F.: Integrating traffic data and model predictive control to improve fuel economy. In: IFAC Symposium on Control in Transportation Systems (2009)
Polak, E., Yang, T.H.: Moving horizon control of linear systems with input saturation and plant uncertainty, parts 1 and 2. Int. J. Control 58, 613–663 (1993)
Primbs, J.A., Netistic, V.: A framework for robustness analysis of constrained finite receding horizon control. In: American Control Conference (ACC), pp. 2718–2722 (1998)
Razavian, R.S., Taghavipour, A., Azad, N.L., McPhee, J.: Design and evaluation of a real-time optimal control system for series hybrid electric vehicles. Int. J. Electr. Hybrid Veh. 4, 260–288 (2012)
Saeedi, M.: A mean value internal combustion engine model in MapleSim. M.Sc. Dissertation, Waterloo (ON) (2010)
Sagha, H., Farhangi, S., Asaei, B.: Modeling and design of a nox emission reduction strategy for lightweight hybrid electric vehicles. In: 35th Annual Conference of IEEE Industrial Electronics (IECON ’09), pp. 334–339 (2009)
Sanketi, P.R., Zavala, J.C., Hedrick, J.K.: Dynamic surface control of engine exhaust hydrocarbons and catalyst temperature for reduced cold start emissions. In: Proceedings of the International Federation of Automatic Control (IFAC) Conference (2005)
Shaw, B., Fischer, G.D., Hedrick, J.K.: A simplifed coldstart catalyst thermal model to reduce hydrocarbon emissions. In: Proceedings of 15th Triennial World Congress of the International Federation of Automatic Control, pp. 1915–1921 (2002)
Smith, D., Lohse-Busch, H., Irick, D.: A preliminary investigation into the mitigation of plug-in hybrid electric vehicle tailpipe emissions through supervisory control methods. SAE Technical Paper No. 2010-01-1266 (2010)
Souder, J.S., Hedrick, J.K.: Adaptive sliding mode control of airfuel ratio in internal combustion engines. Int. J. Robust Nonlinear Control 14, 525–541 (2011)
Iordanou, H.N., Surgenor, B.: Experimental evaluation of the robustness of discrete sliding mode control versus linear quadratic control. IEEE Trans. Control Syst. Technol. 5, 254–260 (1997)
Taghavipour, A., Azad, N.L., McPhee, J.: An optimal power management strategy for power split plug-in hybrid electric vehicles. Int. J. Veh. Des. 60, 286–304 (2012)
Taghavipour, A., Azad, N.L., McPhee, J.: Design and evaluation of a predictive powertrain control system for a plug-in hybrid electric vehicle to improve fuel economy and emissions. IMechE Part D J. Autom. Eng. 229, 624–640 (2015)
Taghavipour, A., Vajedi, M., Azad, N.L., McPhee, J.: Predictive power management strategy for a phev based on different levels of trip information. In: IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM’12), vol. 60, pp. 326–333 (2012)
Tian, Y., Sun, W., Qu, D., Wang, L.: Study of a exhaust after-treatment system applied to hybrid vehicle. In: Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1–4 (2010)
Vajedi, M., Taghavipour, A., Azad, N.L., McPhee J.: A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. In: American Control Conference (ACC), pp. 2612–2617 (2014)
Wang, L.: Model Predictive Control System Design and Implementation Using MATLAB. Springer, Heidelberg (2009)
Wurzenberger, J.C., Auzinger, G., Heinzle, R., Wanker, R.: 1D modeling of reactive fluid dynamics, cold start behavior of exhaust systems. SAE Technical Paper No. 2006-01-1544 (2006)
Zavala, J.C. : Engine modeling and control for minimization of hydrocarbon coldstart emissions in SI engines. Ph.D. Dissertation, University of California, Berkeley, Berkeley (CA) (2007)
Zheng, A., Morari, M.: Stability of model predictive control with soft constraints. IEEE Trans. Autom. Control 40, 1818–1823 (1995)
Zheng, C., Vahidi A., Li, X., Essenmacher, D.: Role of trip information preview in fuel economy of plug-in hybrid vehicles. In: ASME Dynamic Systems and Control Conference (2009)
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Taghavipour, A., Vajedi, M., Azad, N.L. (2019). Nonlinear Model Predictive Control. In: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-030-00314-2_4
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DOI: https://doi.org/10.1007/978-3-030-00314-2_4
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