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Optimization of process parameters in series hydraulic hybrid system through multi-objective function
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Document Date: 2013-09-06 05:03:54


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File Size: 3,26 MB

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City

Linköping / Design / Madras / Las Vegas / Berlin / Trieste / /

Company

Zoran / CRC Press / Oak Ridge National Laboratory / HP / Greif / /

Country

Italy / /

Currency

pence / /

/

Facility

Indian Institute of Technology Madras / University of Michigan / /

IndustryTerm

vehicle driving energy / regenerated energy / minimum energy / energy ergy / cumulative ener energy / accumulator gas pressure / crude oil dependent industries / accumulator oil pressure / energy recovery method / conventional systems / maximum energy efficiency / electric hybrid systems / system output energy / agriculture machinery / regeneration energy / sub-systems / Energy storage devices / high energy density / hydraulic regeneration energy saving / electricity system / machinery / delivered energy / nitrogen gas / energy density / hydraulic energy / evolutionary algorithm / construction machinery / maximum energy / accumulator hydraulic oil volume decreases / lower energy consumption / evolutionary algorithms / hydraulic oil / crude oil resources / given minimum energy / system energy / hydraulic hybrid systems / system energy efficiency / energy / agriculture machinery industries / output energy / technology division / mechanical energy / heat energy / genetic algorithm / hydraulic oil volume / crude oil / kinetic energy / potential technological solution / energy efficiency vehicle / useless kinetic energy / transportation analysis engineering science / energy efficient system / potential energy / energy delivery / energy saving / regenerated hydraulic energy / energy efficiency / poor regeneration energy saving / hybrid systems / adaptive simulated annealing genetic algorithm / oil properties / Energy efficiency parameter / hydraulic accumulator gas / energy distribution / personal transportation / /

Organization

University of Michigan / Somashekhar S. Hiremath* / R. Ramakrishnan and M. Singaperumal Department of Mechanical Engineering / Indian Institute of Technology Madras / Katholieke Universiteit Leuven / American Society of Mechanical Engineers / /

Person

Master / Ajith Abraham / Lakhmi Jain / Allen E. Fuhs / Van de Ven / Robert Goldberg / /

Position

MMES scheduler / MP / hydraulic regeneration pump Driving cycle time MP / /

Product

Impact / /

ProgrammingLanguage

RC / /

ProvinceOrState

Nevada / Michigan / /

Technology

MMES algorithm / fuel cell / Flow control / adaptive simulated annealing genetic algorithm / simulation / /

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