Electric vehicle energy management system using National Instruments' CompactRIO and LabVIEW

Mohd, Syaifuddin; Zulkifli, Saiful A.; Rangkuti, Redhata G. A.; Ovinis, Mark; Saad, Nordin

doi:10.1109/icsima.2013.6717928

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…The Compact-RIO is a combination of a real-time controller, reconfigurable input/output modules, FPGA module, and an ethernet expansion chassis. LabVIEW and National Instruments technology are used in many engineering applications [10].…”

Section: Methodsmentioning

confidence: 99%

Power Supply Management for an Electric Vehicle Using Fuzzy Logic

Pérez-Pimentel

Osuna-Galán

Avilés‐Cruz

et al. 2018

Applied Computational Intelligence and Soft Computing

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The technology of power electronic systems has diversified into industrial, commercial, and residential areas. Developing a strategy to improve the performance of the electrical energy of an electric vehicle (EV) requires an analysis of the model that describes it. EVs are complex mechatronic systems described by nonlinear models and, therefore, its study is not an easy task. It can improve the performance of a battery bank by creating new batteries that allow for greater storage or by developing a management energy system. This article shows the development of a power supply management system based on fuzzy logic for an electric vehicle, in order to minimize the total energy consumption and optimize the battery bank. The experimental result is shown using the fuzzy controller under standard operating conditions. An increase in battery performance and overall performance of energy consumption is shown. Speed signals acquired show improvements in some dynamic, such as overshoot, settling time, and steady-state error parameters. It is shown that this fuzzy controller increases the overall energy efficiency of the vehicle.

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Section: Methodsmentioning

confidence: 99%

Power Supply Management for an Electric Vehicle Using Fuzzy Logic

Pérez-Pimentel

Osuna-Galán

Avilés‐Cruz

et al. 2018

Applied Computational Intelligence and Soft Computing

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“…The parameter is an important for taking hybrid vehicles into consideration. It depends on the state of the SOC after loading and discharging the battery [7]. Data acquisition SOC flow map to measure the SOC, we used the battery's open circuit voltage system, which in lead acid batteries is much simpler and more precise [8].…”

Section: Overview Of Electric Vehiclementioning

confidence: 99%

Modeling Simulation and Performance Electrification of Cuckoo Search Based Charge Controller for Electrical Vehicle Applications

Rathore¹,

Rahul²,

Singh³

et al. 2022

SKITRJ

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In 2008, the launch of the Tesla proved to the public electric vehicles' ability to fuel and greenhouse gases reduction in the transport sector. It brought the worldwide spotlight on electric vehicles when, because of increased demand and fossil fuel prices, they reached unexpectedly high and developing countries needed strong economic growth. The capacity for energy storage by electric cars as well as the likely random discharge and loading of the grid are important challenges in operation and maintenance. The Optimal preparation techniques are important for large number of vehicles to be incorporated with the smart grid and electric vehicles. Greenhouse gas emissions are one of the major environmental problems and their emission rates are rising more quickly with rapid industrialization. This can be overcome by solar energy for transport. The purpose of the work proposed is to include a technology that supports green energy. The presented research underlines the functional properties of electric vehicle and illustrated literature review on recent developments of electric vehicles. The research paper also explains the fundamental components of electric vehicle incorporated with solar photovoltaic system. Research is useful in understanding properties and challenges in the field of electric vehicles. This research also involves the characteristic analysis of electric vehicles using mathematical modeling and design simulation. The secondary goal of this research is to implement the photovoltaic solar energy plant's equivalent design model. The solar photovoltaic system mathematical model has implemented using the MATLAB for maximum power point monitoring using the Cuckoo search algorithm.

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“…Based on various studies, the major applications for managing the power of an electric vehicle will be done inside the energy control system, which will control the car according to the own vehicle parameters and according to the used algorithm [26,27]. This requires a high-speed processor for handling those mathematical equations [27]. Our approach simplifies the power management for an electric vehicle and transfers the power management problem outside the vehicle.…”

Section: The Ev Power Management Problem In the Literaturementioning

confidence: 99%

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Aymen

Mahmoudi

2019

Energies

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Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the city’ host’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles and buildings communication for sharing some special information related to the vehicle status and to the road condition. EVs can share their own information related to the energy experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on bi-communication between vehicles and buildings. The principle of this method is established on two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendation, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and the neural network was employed, for giving the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations were discussed in this approach. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, for showing the efficiency of this approach.

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Electric vehicle energy management system using National Instruments' CompactRIO and LabVIEW

Cited by 9 publications

References 2 publications

Power Supply Management for an Electric Vehicle Using Fuzzy Logic

Power Supply Management for an Electric Vehicle Using Fuzzy Logic

Modeling Simulation and Performance Electrification of Cuckoo Search Based Charge Controller for Electrical Vehicle Applications

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

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