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This work presents the development of a Battery Management System (BMS) focused on lithium batteries for Electric Vehicles (EV). This BMS was developed using fuzzy logic to model the methodologies for improving the autonomy and performance of the EV. For modeling the EV, the powertrain and driving cycles were used, thus reproducing the normal operation conditions for a real EV. With this model, to...
Electric vehicle technology is becoming increasingly important as it takes care of the environmental issues related to ICE vehicle and reduces the dependency on oil. Electric vehicle being greatly dependent on the limited electrical energy provided by a battery, the power flow efficiency is very important in this context. The major contribution of this work is to propose a power management strategy...
A generalized model of a Microgrid in an island mode is proposed for assessing the system power and frequency performances. This Microgrid (MG) includes a diesel backup generator along with a number of Distributed Energy Resources (DES): Wind Turbine Generator (WTG), Photovoltaic System (PV), Fly- Wheel Energy Storage system (FESS), and Battery Energy Storage System (BESS). Controlling the frequency...
This paper proposes the modeling and control of contactless based Charging Station (CS) in Vehicle-to-Grid (V2G) scenario. Various charging points, also called multi-point is present in a CS. The CS is a place where Electric Vehicles (EVs) of particular area will come to charge as well as to participate for the grid support. A multi-point bidirectional contactless based CS with its control structure...
Regenerative braking can improve energy usage efficiency and prolong the driving distance of electric vehicle per charge, effectively. In the paper, we design a sugeno's fuzzy logic controller which has four inputs including driver's braking requirements, vehicle speed, batteries' SOC, batteries' temperature and one output which is the regenerative braking force. We do some improvement on the force...
Many wheelchair users suffer from Multiple Sclerosis causing tremors in their limbs, which leads to incorrect control signals to the wheelchair joystick. In this paper, we design and simulate a Neuro-Fuzzy based joystick controller for an electric wheelchair to minimize tremors as well as adapt to a patient's peculiar controlling commands. The controls of an electronic wheelchair are designed to execute...
This paper presents a novel approach with a rule based acceleration control strategy for electric vehicles. This proposal has a straight forward goal for minimizing the complexities of the existing controllers used in the vehicles. The use of fuzzy logic enables the heuristic rule based technique to be used as an efficient solution. The fuzzy logic controller designed here is a combination of fuzzy...
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