Optimization of powertrain operating policy for feasibility assessment and calibration: Stochastic dynamic programming approach

Proceedings of the American Control Conference

Volumn 2, Issue , 2002, Pages 1425-1430

  Kolmanovsky, Ilya ^a   Siverguina, Irina ^b   Lygoe, Bob ^c  

^a FORD RESEARCH LABORATORY   (United States)

^b OAKLAND UNIVERSITY   (United States)

^c FORD MOTOR COMPANY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING; FUEL CONSUMPTION; ITERATIVE METHODS; MARKOV PROCESSES; OPTIMIZATION; POWER TRANSMISSION; STOCHASTIC PROGRAMMING;

POWERTRAIN OPERATING POLICY; STOCHASTIC DYNAMIC PROGRAMMING;

AUTOMOBILE TRANSMISSIONS;

EID: 0036058805     PISSN: 07431619     EISSN: None     Source Type: Journal    
DOI: 10.1109/ACC.2002.1023221     Document Type: Article

References (12)

1. Optimal energy management in series hybrid electric vehicle
2. Dynamic optimization of lean burn engine aftertreatment
3. Optimization of complex powertrain systems for fuel economy and emissions
4. Feasibility assessment and operating policy optimization of automotive powertrains with uncertainties using game theory
5. Energy management strategy for a parallel hybrid electric truck
6. Engine control optimization via nonlinear programming
7. A stochastic approach for optimization of open loop engine control system
8. Asymptotic behavior of the value functions of discrete-time discounted optimal control