Showing 2 results for Nehzati
M. Esfahanian, A. Mahmoodian, M. Amiri, M. Masih Tehrani, H. Nehzati, M. Hejabi, A. Manteghi,
Volume 3, Issue 4 (12-2013)
Abstract
In the present study, a model of a large Lithium Polymer (Li-Po) battery for use in the simulation of Hybrid
Electric Vehicles (HEVs) is developed. To attain this goal, an Equivalent Circuit (EC) consisting of a series
resistor and two RC parallel networks is considered. The accuracy and the response time of the model for
use in an HEV simulator are studied. The battery parameters identification and model validation tests are
performed in low current with a good accuracy. Similar test process is implemented in high current for
another cell and the simulation is verified with experimental results. The validation tests confirm the
accuracy of the model for use in HEV simulator. Finally, the battery model is used to model a Vehicle, Fuel
and Environment Research Institute (VFERI) hybrid electric city bus using ADVISOR software and its
compatibility with other components of the vehicle simulator are demonstrated in a drive cycle test.
M. Masih-Tehrani, V. Esfahanian, M. Esfahanian, H. Nehzati, M.j. Esfandiary,
Volume 5, Issue 2 (6-2015)
Abstract
The Energy Storage System (ESS) is an expensive component of an E-bike. The idea of Hybrid Energy Storage System (HESS), a combination between battery and Ultra-Capacitor (UC), can moderate the cost of E-bike ESS. In this paper, a cost function is developed to use for optimal sizing of a HESS. This cost function is consisted of the HESS (battery, UC and DC/DC converter) cost and the cost of battery replacements during 10 years. The battery lifetime and riding pattern limit the life span of ESS. The “Portuguese standard NP EN 1986-1” riding pattern is used in this research. The Genetic Algorithm (GA) is used to solve the optimization problem. The results show that the cost and weight of HESS are clearly better than optimally sized battery ESS.
