SP-SDP for Fuel Consumption and Tailpipe Emissions Minimization in an EVT Hybrid

Abstract

Control strategies have been developed for hybrid electric vehicles (HEV) that minimize fuel consumption while satisfying a charge sustaining constraint. Since one of the components of an HEV is typically the ubiquitous internal combustion engine, tailpipe emissions must also be considered. This paper uses shortest-path stochastic dynamic programming (SP-SDP) to address the minimization of a weighted sum of fuel consumption and tailpipe emissions for an HEV equipped with a dual mode electrically variable transmission (EVT) and a catalytic converter. The shortest path formulation of SDP is chosen to directly address the charge sustaining requirement. Using simple methods, an SP-SDP solution required more than eight thousand hours. Using linear programming and duality, an SP-SDP problem is solved in about three hours on a desktop PC. The resulting time-invariant feedback controller reduces tailpipe emissions by more than 50% when compared to a popular baseline controller.Index Terms-Dynamic programming, fuel economy, hybrid electric vehicle, powertrain control.

Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles: A Survey

“…Tate summarized the findings on techniques for HEV controller synthesis mainly focusing on the SP-SPD formulation in his dissertation [52]. Subsequently, Tate et al [53] used SP-SDP to address minimization of a weighted sum of fuel consumption and tailpipe emissions for an HEV equipped with a dual-mode electrically variable transmission. The unique aspects of the study included an electrically variable transmission and catalytic converter and a state-censoring technique to achieve short computation time.…”

On the Optimal Thermal Management of Hybrid-Electric Vehicles with Heat Recovery Systems

“…On the other hand [23], describes the implementation of an optimal online strategy, sensitive to θ c , on a test bench and its advantages over simple heuristics. In [21], stochastic dynamic programming is applied to a plant model that considers θ c as a state variable. The same dynamics are considered in [24] but later they are neglected in the controller.…”

Energy Management of Hybrid Electric Vehicles: 15 years of development at the Ohio State University

“…While today many institutions worldwide conduct research on HEV, at the beginning six main research groups have been extremely active in the development of energy strategies for HEV. The most significant contributions in this area are from researchers at: OSU-CAR (this paper deals with 15 years worth of research results produced by researchers at this institution); ETH Zurich (Sciarretta et al, 2003(Sciarretta et al, , 2004Rodatz et al, 2005;Sundstro¨m et al, 2008Sundstro¨m et al, , 2010Sundstro¨m and Guzzella, 2009;Ambuhl and Guzzella, 2009), University of l'Aquila, (Anatone et al, 2005;Cipollone and Sciarretta, 2006); IFP Energies nouvelles (IFPEN) in France (Chasse et al, 2009); IFPEN and ETH ; University of Michigan Ann Arbor (Lin et al, 2001(Lin et al, , 2003(Lin et al, , 2006Wu et al, 2004;Tate et al, 2007;Liu and Peng, 2008); Eindhoven University of Technology (Kessels et al, 2006(Kessels et al, , 2008Kessels, 2007). This paper is not intended to be a comprehensive review of all of the developments in this field.…”