Evolutionary Algorithm for Vehicle Driving Cycle Generation

Perhinschi, Mario G.; Marlowe, Christopher; Tamayo, Sergio; Tu, Jun; Wayne, W. Scott

doi:10.1080/10473289.2011.596742

Cited by 22 publications

(11 citation statements)

References 2 publications

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“…These advantages make GAs a choice for difficult problems such as cycle development. Several works from West Virginia University (WVU) have used GAs for problems involving cycle development (Marlow, 2009;Perhinschi et al, 2011).…”

Section: Reviewmentioning

confidence: 99%

“…Each cycle was "segmented" into portions of different activity. We defined segments in a similar manner to "micro-trips" from previous studies (Dai et al, 2008;Clark et al, 2007;Perhinschi et al, 2011). Instead of using vehicle speed to define micro-trips, we selected engine speed.…”

Section: Designmentioning

confidence: 99%

“…Table 17 presents both the statistics and emissions comparisons with the FTP values as reference. Emissions data were collected using a 40 CFR 1065-compliant dilution tunnel and constant-volume sampling system ("Code of Federal Regulations"; Wu et al, 2009). Carbon monoxide (CO), oxide of nitrogen (NO x ), carbon dioxide (CO 2 ), and total hydrocarbon (THC) emissions were measured with a Horiba MEXA 7200 D analytical bench.…”

Section: Application Of Smoothing For the Otr Truck Cyclementioning

confidence: 99%

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Development of engine activity cycles for the prime movers of unconventional natural gas well development

Johnson

Heltzel

Nix

et al. 2016

Journal of the Air & Waste Management Association

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Development of representative, engine dynamometer test cycles, from in-use activity data, is crucial in understanding fuel efficiency and emissions for engine operating modes that are different from cycles mandated by the Code of Federal Regulations. Representative cycles were created for the prime movers of unconventional well development-over-the-road (OTR) trucks and drilling and hydraulic fracturing engines. The representative cycles are implemented on scaled engines to reduce fuel consumption during research and development of new technologies in controlled laboratory environments.

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Section: Reviewmentioning

confidence: 99%

Section: Designmentioning

confidence: 99%

Section: Application Of Smoothing For the Otr Truck Cyclementioning

confidence: 99%

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Development of engine activity cycles for the prime movers of unconventional natural gas well development

Johnson

Heltzel

Nix

et al. 2016

Journal of the Air & Waste Management Association

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“…As driving cycle is a stochastic process, Markov process analysis is also commonly used in construction of driving cycle [7][8]. Genetic algorithm is also used in construction process and the calculation process is simplified [9]. In analysis process, the characteristic parameters have significant influence on construction result.…”

Section: Introductionmentioning

confidence: 99%

Construction and Analysis of the Dalian Driving Cycle

Xia¹,

Zhang²,

Xiong³

et al. 2015

IJCA

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“…GAs have a wide range of real world applications in optimizationprocesses such as controller design for autonomous helicopter models, duty cycle creation using evolutionary algorithms by Perhinschi et. al[62] and many more[9-11, 13, 15].…”

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confidence: 99%

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Padmavathy¹

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Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations Pragalath Thiruvengadam Padmavathy Heavy-duty (HD) diesel engines are the primary propulsion systems used within the freight transportation sector and are subjected to stringent emissions regulations. The primary objective of this study is to develop a robust calibration technique for HD engine optimization in order to meet current and future regulated emissions standards during certification cycles and vocational activities such as drayage operations. Recently, California-Air Resources Board (C-ARB) has also shown interests in controlling off-certification cycle emissions from vehicles operating in the state of California by funding projects such as the Ultra-Low NOx study by Sharp et. al [1]. Moreover, there is a major push for the complex real-world driving emissions testing protocol as the confirmatory and certification testing procedure in Europe and Asia through the United Nations-Economic Commission for Europe (UN-ECE) and International Organization for Standardization (ISO). This calls for more advanced and innovative approaches to optimize engine operation to meet the regulated certification levels. A robust engine calibration technique was developed using dual-layered multi-objective genetic algorithms (D-MOGA) to determine necessary engine control parameter settings. The study focused on reducing fuel consumption and lowering oxides of nitrogen (NOx) emissions, while simultaneously increasing exhaust temperatures for thermal management of exhaust aftertreatment system. The study also focused on using D-MOGA to develop a calibration routine that simultaneously calibrates engine control parameters for transient certification cycles and

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Evolutionary Algorithm for Vehicle Driving Cycle Generation

Cited by 22 publications

References 2 publications

Development of engine activity cycles for the prime movers of unconventional natural gas well development

Development of engine activity cycles for the prime movers of unconventional natural gas well development

Construction and Analysis of the Dalian Driving Cycle

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

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