Optimization of process parameters in series hydraulic hybrid system through multi-objective function

Somashekhar S. Hiremath
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, INDIA

R. Ramakrishnan
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, INDIA

M. Singaperumal
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, INDIA

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1392a20

Ingår i: 13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden

Linköping Electronic Conference Proceedings 92:20, s. 199-205

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Publicerad: 2013-09-09

ISBN: 978-91-7519-572-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Rising demand; scarcity and lower production rate of crude oil has made fuel an unaffordable for a public passenger vehicle. In this scenario; an energy or fuel efficient system called hybrid system is the hardcore requirement of the automotive industry. The latest gasoline-electric hybrid and hydraulic hybrid systems are significantly more energy and fuel efficient than conventional vehicles. Strength of electric hybrids is its high energy density of electric batteries; allowing for large storage in relatively compact and lightweight batteries. Hydraulic hybrid is the potential technological solution for the limitations in the electric hybrid vehicle. Scalability of hydraulic hybrid system to larger; more powerful vehicles like garbage trucks; passenger bus and delivery trucks when compared to its counterparts. In this paper; a new configuration of the series hydraulic hybrid system has been proposed. The dynamic response of the system is studied using simulation results of the system model in AMESim tool. Sizing of key components in the system involves a parametric optimization with objective function as maximize system energy delivered. However; A trade-off prevails between the system energy consumed and energy delivered. Hence; the process parameters of the system are optimized through multi-objective function. The system simulation results after optimization apparently show that; optimal system parameters significantly improve energy efficiency


Series hydraulic hybrid; Multi-objective function; Energy efficiency; Optimization


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