A Correlation Methodology between AVL Mean Value Engine Model and Measurements with Concept Analysis of Mean Value Representation for Engine Transient Tests

Pinamonti, Silvio A.; Brancale, Domenico; Meister, G.; Mendoza, Pablo

doi:10.4271/2017-24-0053

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…For example, in 2014 Ford presented a sedan named 'Ford Fusion' and redesigned the suspension and powertrain parts with total mass reduction 24%. Ford also substituted traditional steel with aluminium on the brake rotors, doors, sills and front sub frame while magnesium was used in the transmission and front door castings (Pinamonti et al, 2017). Ford also reiterated its intension to reduce its vehicles' weight by 250-70 pounds per model from 2015 to 2020 (Gur, Yuksel and Pan, Jian and Li, Wanlu and Wagner, 2016;Xue et al, 2016).…”

Section: Rising Weight Reduction Technologies and Automobile Industrymentioning

confidence: 99%

Evaluation of vehicle lightweighting to reduce greenhouse gas emissions with focus on magnesium substitution

Kulkarni

Edwards

Pärn

et al. 2018

JEDT

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Vehicle weight reduction represents a viable means of meeting tougher regulatory requirements designed to reduce fuel consumption and control greenhouse gas emissions. This research presents an empirical and comparative analysis of lightweight magnesium (Mg) materials used to replace conventional steel in passenger vehicles with internal combustion engines. The very low density of Mg makes it a viable material for light weighting given that it 1/3 lighter than aluminium and 3/4 lighter than steel. Approach: A structural evaluation case study of the 'open access' Wikispeed car was undertaken. This included an assessment of material design characteristics such as bending stiffness, torsional stiffness and crashworthiness to evaluate whether magnesium provides a better alternative to the current usage of aluminium in the automotive industry. Findings: The Wikispeed car had an issue with the rocker beam width/ thickness (b/t) ratio indicating failure in yield instead of buckling. By changing the specified material, Aluminium Alloy 6061-T651 to Magnesium EN-MB10020 it was revealed that vehicle mass could be reduced by an estimated 110 kg, in turn improving the fuel economy by 10%. This however would require mechanical performance compromise unless the current design is modified. Originality: This is the first time that a comparative analysis of material substitution has been made on the Wikispeed car. The results of such work will assist in the lowering of harmful greenhouse gas emissions (GHG) and simultaneously augment fuel economy.

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Section: Rising Weight Reduction Technologies and Automobile Industrymentioning

confidence: 99%

Evaluation of vehicle lightweighting to reduce greenhouse gas emissions with focus on magnesium substitution

Kulkarni

Edwards

Pärn

et al. 2018

JEDT

View full text Add to dashboard Cite

show abstract

“…Whereas, in the DEM approach the reciprocating behaviour of the engine is also modelled. There is a lot of literature available which describe the methods and their implementation in the control perspective [Jung 2003, Baldi et al 2015, Pinamonti et al 2017, Jiang et al 2009, Martin et al 2018, Torregrosa et al 2011, Payri et al 2005].…”

Section: Engine Calibrationmentioning

confidence: 99%

Online Control of Automotive systems for improved Real-World Performance

Pandey¹

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Development of a virtual methodology based on physical and data-driven models to optimize engine calibration

Boccardo¹,

Piano

Zanelli³

et al. 2022

Transportation Engineering

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A Correlation Methodology between AVL Mean Value Engine Model and Measurements with Concept Analysis of Mean Value Representation for Engine Transient Tests

Cited by 5 publications

References 15 publications

Evaluation of vehicle lightweighting to reduce greenhouse gas emissions with focus on magnesium substitution

Evaluation of vehicle lightweighting to reduce greenhouse gas emissions with focus on magnesium substitution

Online Control of Automotive systems for improved Real-World Performance

Development of a virtual methodology based on physical and data-driven models to optimize engine calibration

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