Title | ||
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Reducing Soot Emissions in a Diesel Series Hybrid Electric Vehicle Using a Power Rate Constraint Map |
Abstract | ||
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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 |
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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 Kim | 1 | 8 | 4.79 |
Ashwin Salvi | 2 | 2 | 0.40 |
Anna G. Stefanopoulou | 3 | 274 | 56.19 |
Tulga Ersal | 4 | 33 | 15.63 |