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V EHICLE PROPULSION SYSTEMS
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Guzzella L., Sciarretta A., V EHICLE PROPULSION SYSTEMS. I NTRODUCTION TO MODELING AND OPTIMIZATION, 2nd edition, Springer-Verlag, Berlin Heidelberg, 2007.
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I NTRODUCTION to MODELING and OPTIMIZATION
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Guzzella, L.1
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Control of hybrid electric vehicles. Optimal energy-management strategies
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April
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Sciarretta A., Guzzella L., Control of hybrid electric vehicles. Optimal energy-management strategies, Control Systems Magazine, vol. 27, no. 2, April 2007, p. 60-70.
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Constrained optimization of energy management for a mild-hybrid vehicle
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July-August
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Rousseau G., Sinoquet D., Rouchon R., Constrained optimization of energy management for a mild-hybrid vehicle, Oil and Gas Science and Technology, vol. 62, no. 4, July-August 2007, p. 623-634.
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Model-based fuel optimal control of hybrid electric vehicle using variable structure control systems
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January
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Wei X., Guzzella L., Utkin VI, Rizzoni G., Model-based fuel optimal control of hybrid electric vehicle using variable structure control systems, Trans. of the ASME, Jnl. of Dynamic Systems, Measurements and Control, vol. 129, no. 1, January 2007, p. 13-19.
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Optimal control of parallel hybrid electric vehicles
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May
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Sciarretta A., Back M., Guzzella L., Optimal control of parallel hybrid electric vehicles, IEEE Trans. on Control Systems Technology, vol. 12, no. 3, May 2004, p. 352-363.
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IEEE Trans. on Control Systems Technology
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Sciarretta, A.1
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Modeling and control of a power-split hybrid vehicle
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Liu JM, Peng HE, Modeling and control of a power-split hybrid vehicle, IEEE Trans. on Control Systems Technology, vol. 16, no. 6, November 2008, p. 1242-1251.
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Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming
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Ao GQ, Qiang JX, Zhong H., Mao XJ, Yang L., Zhuo B., Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming, Proc. of the IMechE, Part D-Jnl. of Automobile Engineering, vol. 222, no. D10, October 2009, p. 1851-1864.
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On implementation of dynamic programming for optimal control problems with final state constraints
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Rueil Malmaison, France, 25-26 November
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Sundström O., Ambühl D., Guzzella L., On implementation of dynamic programming for optimal control problems with final state constraints, Proc. of the Int. Conf. on Advances in Hybrid Powertrains, Rueil Malmaison, France, 25-26 November 2008.
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Proc. of the Int. Conf. on Advances in Hybrid Powertrains
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Sundström, O.1
Ambühl, D.2
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Optimal fuel of fuel economy in parallel hybrid electric vehicles
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September
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Pu J., Yin C., Optimal fuel of fuel economy in parallel hybrid electric vehicles, Proc. of the IMechE, Part D-Journal of Automobile Engineering, vol. 221, no. D9, September 2007, p. 1097-1106.
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Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming
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March
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Johannesson L., Asbogard M., Egardt B., Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming, IEEE Trans. on Intelligent Transportation Systems, vol. 8, no. 1, March 2007, p. 71-83.
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Trip-based optimal power management of plug-in hybrid electric vehicles
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Gong QM, Li YY, Peng ZR, Trip-based optimal power management of plug-in hybrid electric vehicles, IEEE Trans. on Vehicular Technologiy, vol. 57, no. 6, November 2008, p. 3393-3401.
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Gong, Q.M.1
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Online energy management for hybrid electric vehicles
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Kessels JTBA, Koot MWT, van den Bosch PPJ, Kok DB, Online energy management for hybrid electric vehicles, IEEE Trans. on Vehicular Technology, vol. 57, no. 6, November 2008, p. 3428-3440.
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13
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21244502512
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A real-time optimal control strategy for parallel hybrid vehicles with on-board estimation of control parameters
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Salerno, April 19-23
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Sciarretta A., Guzzella L., Back M., A real-time optimal control strategy for parallel hybrid vehicles with on-board estimation of control parameters, Proc. of the IFAC Symposium on Advances in Automotive Control (AAC04), Salerno, April 19-23, p. 502-507, 2004.
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Proc. of the IFAC Symposium on Advances in Automotive Control (AAC04)
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Sciarretta, A.1
Guzzella, L.2
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14
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0003507691
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Wiley
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Applied Optimal Control: Optimization, Estimation, and Control
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Optimal power management of an experimental fuel cell/supercapacitor powered hybrid vehicle
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January
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Rodatz P., Paganelli G., Sciarretta A., Guzzella L., Optimal power management of an experimental fuel cell/supercapacitor powered hybrid vehicle, Control Engineering Practice, vol. 13, no. 1, January 2005, p. 41-53.
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Control Engineering Practice
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Rodatz, P.1
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Simulation and assessment of power control strategies for a parallel hybrid car
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Paganelli G., Guerra TM, Delprat S., Santin JJ, Delhom M., Combes E., Simulation and assessment of power control strategies for a parallel hybrid car, Proc. of the IMechE, Part D: Journal of Automobile Engineering, vol. 214, no. 7, p. 705-717, 2000.
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A-ECMS: An adaptive algorithm for hybrid electric vehicle energy management
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Seville, Spain
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Musardo C., Rizzoni G., Staccia B., A-ECMS: an adaptive algorithm for hybrid electric vehicle energy management, Proc. of the 44th IEEE Conf. on Decision and Control, and the 2005 European Control Conf., Seville, Spain, p. 1816-1823, 2005.
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A causal operation strategy for hybrid electric vehicles based on optimal control theory
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Braunschweig, Germany, February 14-15
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Ambüuhl D., Sciarretta A., Onder C., Guzzella L., Sterzing S., Mann K., Kraft D., Küusell M., A causal operation strategy for hybrid electric vehicles based on optimal control theory, Proc. of the 4th Braunschweig Symposium on Hybrid Vehicles and Energy Management, Braunschweig, Germany, February 14-15, 2007.
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Proc. of the 4th Braunschweig Symposium on Hybrid Vehicles and Energy Management
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Ambüuhl, D.1
Sciarretta, A.2
Onder, C.3
Guzzella, L.4
Sterzing, S.5
Mann, K.6
Kraft, D.7
Küusell, M.8
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19
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84877464150
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Advances in electrochemical models for predicting the cycling performance of traction batteries: Experimental study on Ni-MH and simulation
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Rueil-Malmaison, France, November 25-26
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Bernard J., Sciarretta A., Touzani Y., Sauvant-Moynot V., Advances in electrochemical models for predicting the cycling performance of traction batteries: experimental study on Ni-MH and simulation, Proc. of the Int. Conf. on Advances in Hybrid Powertrains, Rueil-Malmaison, France, November 25-26, 2008.
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Proc. of the Int. Conf. on Advances in Hybrid Powertrains
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Bernard, J.1
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84877489206
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Automated model generation for hybrid vehicles within a hardware-in-the-loop environment
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Rueil-Malmaison, France, November 25-26
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Verdonck N., Sciarretta A., Chasse A., Automated model generation for hybrid vehicles within a hardware-in-the-loop environment, Proc. of the Int. Conf. on Advances in Hybrid Powertrains, Rueil-Malmaison, France, November 25-26, 2008.
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Proc. of the Int. Conf. on Advances in Hybrid Powertrains
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Verdonck, N.1
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