Modeling of electrical vehicle for state of charge evaluation in smart mobility scenario

Author(s):  
G. Gruosso ◽  
D. Bandeira
2020 ◽  
Vol 172 ◽  
pp. 16010
Author(s):  
Pedro F. Pereira ◽  
Nuno M. M. Ramos

The development of nearly zero energy buildings (nZEB) is a goal being set for many countries for the next years. In order to achieve that goal, on-site energy generation is needed, and the use of photovoltaic and storage systems is a possible strategy. Hence, the objective of this work is to evaluate the impact that occupant behaviour has on the batteries energy storage systems (BESS) of an nZEB. This study considers as a case study an nZEB with lightweight construction, located in the university campus, and used by different occupants. The case study has 12 PVs located on the root and a second-life BESS from an electrical vehicle (EV). The monitoring system consists of interior T, RH, CO2 and energy sensors and an exterior on-site meteorological station. The research started with a state of the art review of the support policies for the on-site photovoltaic generation and energy storage. Different storage charge profiles were obtained as different occupant behaviours were applied to the test building. In total, it were considered three occupant profiles and a base scenario was the unoccupied. The occupant behaviour showed to be determinant in the state of charge of the BESS independently from the impacts in the indoor temperature. The need to know the profile of the occupants before the design of the buildings was enhanced.


2013 ◽  
Vol 278-280 ◽  
pp. 1631-1634
Author(s):  
Yun Yun Yang ◽  
Sen Wu ◽  
Zheng Ce Cao

Take the Plug-in Parallel Hybrid Electrical Vehicle as research object, matching with the parameter of its power system. Then designs a two—parameter fuzzy control unit for torque split between engine and electric motor. The input parameters are the torque needs of the drive system and the battery State Of Charge. Doing the simulation analysis in the simulation software ADVISOR, the results show that the control strategy has improved the dynamic property and fuel economy of the vehicle effectively.


2011 ◽  
Vol 25 (3) ◽  
pp. 253-257 ◽  
Author(s):  
Hongyu Guo ◽  
Jiuchun Jiang ◽  
Jiapeng Wen ◽  
Jiayue Wang

2000 ◽  
Author(s):  
Mark Berry ◽  
Todd Turner ◽  
Christian Reiff

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