Simple Vehicle Powertrain Model for Modeling Intelligent Vehicle Applications

Rakha, Hesham A.; Ahn, Kyoungho; Faris, Waleed Fekry; Moran, Kevin

doi:10.1109/tits.2012.2188517

Cited by 36 publications

(21 citation statements)

References 10 publications

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“…Therefore, the R e of 4% on r is an order of magnitude of deviation that is less than that of well known models in the field of ITS and vehicle powertrain modeling such as the CMEM [17].…”

Section: Discussionmentioning

confidence: 86%

“…(26) and (27) points out that HC SS R is proportional to r , d V and S V . The average deviation of the simulated results of these developed analytical models from field data outperforms for all Freeway cycles widely recognized models such as the CMEM and VT-Micro [27,17].…”

Section: Discussionmentioning

confidence: 95%

“…Therefore, the reference ambient temperature in K, T Ref-Amb , indicated in Eqs. (17) and (18), is related to the yearly average temperature over the equator at sea level in °C, T Equator , as follows: …”

Section: Inlet Intercoolermentioning

confidence: 99%

“…Largely, there is a need for analytical modeling of the diesel powertrain components for which no analytical models have been developed as yet [16]. In addition, Rakha et al [17] pointed out that there has been currently a call for devising a cost-effective, widely valid, and gear-shifting-based microscopic model of diesel engine for evaluating diesel engines emission rate and the current/new diesel powertrain technologies. The present study thus presents the experimentally validated analytical modeling of the percentage of unburned hydrocarbon, exhaust HC emission rate, and supercharged air density in four-stroke diesel engines.…”

Section: Introductionmentioning

confidence: 99%

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Experimentally validated analytical modeling of diesel exhaust HC emission rate

2014

Self Cite

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Supercharged diesel engines are a key source of hazardous regulated emissions that have been extensively modelled, yet without explainable mathematical trends. The present paper demonstrates the analytical modeling of the percentage of unburned Hydrocarbon and the HC emission rate in four-stroke diesel engines for trucks. The study presents as well the analytical modeling of the supercharged air density. A sensitivity analysis has been conducted on these developed models. The study shows that the average percentage of deviation of the simulated results from the corresponding freeway cycles field data on the percentage of unburned Hydrocarbon and the HC emission rate is 10.6% and 4%, respectively. The corresponding coefficient of determination is 70% and 83%, respectively. The relative error of the developed models of the percentage of unburned Hydrocarbon and the HC emission rate is 10.6% and 2%, respectively. The study demonstrates with 99% coefficient of determination that the average percentage of deviation of the simulated results from the corresponding field data under the steady speed operating condition for all freeway cycles on the supercharged air density is 3.7%. The relative error of the developed model of the supercharged air density is 4%. These values of relative error are in an order of magnitude of deviation that is less than that of widely recognized models in the field of vehicle powertrain modeling, such as the CMEM. These developed analytical models serve as widely valid models that follow entirely from the principles of physics and the results of these developed models have explainable mathematical trends. The fact that these developed models are dimensionally correct further supports the validity of these models. The present models can help in better analyzing the performance of diesel engines and in developing and assessing the performance of these engines.

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“…Therefore, the R e of 4% on r is an order of magnitude of deviation that is less than that of well known models in the field of ITS and vehicle powertrain modeling such as the CMEM [17].…”

Section: Discussionmentioning

confidence: 86%

Section: Discussionmentioning

confidence: 95%

Section: Inlet Intercoolermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimentally validated analytical modeling of diesel exhaust HC emission rate

2014

Self Cite

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“…The good agreement between the measured and estimated curves shows that the model in (16) captures the main characteristics of the brake power curve of an engine, and that we may use it for evaluating the lower bound for the engine's rotational speed. For more refined models, for the power curve of an engine, see [22].…”

Section: Synthesizing the Engine Rotation Speedmentioning

confidence: 99%

Indirect Instantaneous Car-Fuel Consumption Measurements

Skog

Händel

2014

IEEE Trans. Instrum. Meas.

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A method to estimate the instantaneous fuel consumption of a personal car, using speed and height data recorded by a global positioning system receiver and vehicle parameters accessible via national vehicle registers and databases on the world wide web, is proposed. The method is based upon a physical model describing the relationship between the dynamics of the car, engine speed, and energy consumption of the system. An evaluation of the proposed method is done by comparing the estimated instantaneous fuel consumption with that measured by the car's onboard diagnostics data bus. The results of three tests with different cars driven in mixed highway and urban conditions indicate that the instantaneous fuel consumption may be estimated with a root mean square error of ∼0.3 [g/s], in terms of a normalized mean square error, that corresponded to slightly <10%. One application of the proposed method is in the development of smartphone applications that educate drivers to drive more fuel efficiently.Index Terms-Acceleration measurement, energy measurement, engines, fuels, global positioning system, velocity measurement.1 A fuel consumption map is a 3-D plot of the specific fuel consumption versus the engine rotation speed and brake torque. 0018-9456

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Relationship Between the Traffic Flow and the Cruise Control from the Microscopic Point of View

Gáspár

Németh

2018

Advances in Industrial Control

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Simple Vehicle Powertrain Model for Modeling Intelligent Vehicle Applications

Cited by 36 publications

References 10 publications

Experimentally validated analytical modeling of diesel exhaust HC emission rate

Experimentally validated analytical modeling of diesel exhaust HC emission rate

Indirect Instantaneous Car-Fuel Consumption Measurements

Relationship Between the Traffic Flow and the Cruise Control from the Microscopic Point of View

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