2250 G.G. Brown Ann Arbor, MI 48109-2125 USA Phone : +(734) 936-0352 Fax : +(734) 764-4256 E-mail : hpeng@umich.edu The design procedure of a multi-mode power management control strategy with driving pattern recognition is proposed. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx and PM emissions on diversified driving schedules. Six representative driving patterns (RDP) are designed based on the driving characteristics to represent different driving scenarios. For each RDP, the Dynamic Programming (DP) technique is utilized to find the optimal control actions. The implementable, sub-optimal control algorithms are then extracted by analyzing the behavior of the DP control actions. The driving pattern recognition (DPR) method is subsequently used to classify the current driving pattern into one of the RDPs to select proper control algorithm. This “multi-mode” control scheme was tested on several driving cycles and found to work satisfactorily. Keywords / Hybrid Electric Vehicles, Powertrain Control, Heavy Duty Vehicles, Driving Pattern Recognition
[1]
Huei Peng,et al.
Power management strategy for a parallel hybrid electric truck
,
2003,
IEEE Trans. Control. Syst. Technol..
[2]
Yeong-Il Park,et al.
Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition
,
2002
.
[3]
Dimitri P. Bertsekas,et al.
Dynamic Programming and Optimal Control, Two Volume Set
,
1995
.
[4]
Huei Peng,et al.
Energy management strategy for a parallel hybrid electric truck
,
2001,
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).
[5]
Ilya Kolmanovsky,et al.
Dynamic Optimization of Lean Burn Engine Aftertreatment
,
2001
.