Fundamental structural limitations of an industrial energy management controller architecture for hybrid vehicles

Proceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009

Volumn , Issue PART A, 2010, Pages 213-221

  Opila, Daniel F ^a   Wang, Xiaoyong ^b   McGee, Ryan ^b   Cook, Jeffrey A ^c   Grizzle, J W ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b FORD MOTOR COMPANY   (United States)

^c The Department of Civil and Environmental Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; DYNAMIC PROGRAMMING; ELECTRIC MACHINE CONTROL; ENERGY MANAGEMENT; FUEL ECONOMY; FUELS; HYBRID VEHICLES; INDUSTRIAL ECONOMICS; STOCHASTIC SYSTEMS; TUNING;

CONTROLLER STRUCTURES; INDUSTRIAL CONTROLLERS; INDUSTRIAL ENERGY MANAGEMENT; MANAGEMENT CONTROLLER; NUMERICAL SEARCH; PARETO TRADEOFFS; STOCHASTIC DYNAMIC PROGRAMMING; TUNABLE PARAMETER;

CONTROLLERS;

EID: 77953757260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DSCC2009-2538     Document Type: Conference Paper

References (9)

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3. Opila, D., Aswani, D., McGee, R., Cook, J., and Grizzle, J., 2008. "Incorporating drivability metrics into optimal energy management strategies for hybrid vehicles". In Proceedings of 2008 IEEE Conference on Decision and Control.
4. Tate, E., Grizzle, J., and Peng, H., 2008. "Shortest path stochastic control for hybrid electric vehicles". International Journal of Robust and Nonlinear Control, 18, pp. 1409-1429.
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9. Lin, C.-C., Peng, H., and Grizzle, J., 2004. "A stochastic control strategy for hybrid electric vehicles". In Proceedings of the American Control Conference.