Title
Reducing Soot Emissions in a Diesel Series Hybrid Electric Vehicle Using a Power Rate Constraint Map
Abstract
This paper considers a diesel series hybrid electric vehicle (SHEV) and proposes the utilization of an engine-generator power rate constraint map to reduce soot emissions without a significant compromise in fuel economy. Specifically, model predictive control (MPC) is used to split the vehicle power demand between the engine-generator unit and the battery. To achieve a reduction in soot, the engine-generator power rate is constrained. Unlike existing strategies, the power rate limit is not a fixed value but varies, depending on the power level, resulting in a map. This constraint map is designed by formulating the soot emission reduction problem as an optimization problem, which is solved through a three-step offline discrete optimization process. The optimization relies on a quasi-static soot emissions map that captures the trends, even during transients, but underestimates the magnitudes. Therefore, to evaluate the performance of the MPC-based power management with the power rate constraint map, experiments are conducted through an engine-in-the-loop simulation framework. Experimental results show that compared with a constant power rate constraint, soot emissions can be reduced by 44.5% while compromising fuel economy by only 0.3% through the proposed approach. As a tradeoff, the ampere-hour (Ah) processed in the battery, which is a variable that has been shown to correlate with battery capacity loss, increases by 5.5%.
Year
DOI
Venue
2015
10.1109/TVT.2014.2321346
IEEE T. Vehicular Technology
Keywords
DocType
Volume
optimisation,power management,three-step offline discrete optimization process,soot emission reduction,model predictive control (mpc),vehicle power demand,diesel engines,power control,discrete optimization,model predictive control,air pollution control,shev,mpc,soot emissions,quasistatic soot emissions map,engine-generator power rate constraint map,series hybrid electric vehicles (shevs),battery powered vehicles,hybrid electric vehicles,engine-in-the-loop simulation framework,soot,optimization problem,mpc-based power management,battery,fuel economy,diesel series hybrid electric vehicle,predictive control,generators,hardware in the loop simulation,optimization,system on chip,pollutants,engines
Journal
64
Issue
ISSN
Citations 
1
0018-9545
2
PageRank 
References 
Authors
0.40
6
4
Name
Order
Citations
PageRank
Youngki Kim184.79
Ashwin Salvi220.40
Anna G. Stefanopoulou327456.19
Tulga Ersal43315.63