The use of electric motors for the traction of urban vehicles has been increasingly common. Within the scope of the speed variation of these electric machines, there is still an added cost for the acquisition of efficient and reliable controllers. This article aims to present a speed controller development for brushed direct current motors using commercially accessible components.
In response to the growing pressure from civil society on the automotive industry and governments regarding the sustainability and reduction of environmental impacts of vehicular fleets, in recent years there has been a substantial increase in the application and development of technologies applied to vehicular electrification. Among the efforts to massify electric vehicles there are aspects of their reduced autonomy compared to combustion vehicles. The study of vehicle aspects that influence vehicle autonomy becomes imperative so that the best driving practices and energy management strategy are mapped and known. This work aimed to evaluate the influence of the driver profile on the autonomy of electric vehicles. Data were obtained through a device connected to the OBDII port and collected significant information for the evaluation of vehicle parameters such as: speed, battery level, distance covered, autonomy and so on. The results obtained, albeit preliminary, indicate that the profile of the driver influences the autonomy of electric vehicles.
This paper introduces the state-of-art of electrical vehicles, hybrids and charger station currently available. Based at Corredor Verde project, a partnership among SENAI CIMATEC, GESEL, SINAPSIS, UFABC and ABB by 22/2018 ANEEL/COELBA work call aiming the implementation of 17 charger stations between Salvador/BA and Natal/RN cities. It is discussed those technologies challenges along more than 100.000km to be covered by the stations and project´s vehicles. Furthermore, the study and usage of those technologies will permit a new business model study based at electrical network measurements and vehicle behavior over urban and highway scenario, therefore allowing a new scalability perspective about the implementation of this new transport mode in Brazil, where allied with government and industry this new transport mode is also drawing attention from of electrical companies once this mode presents a unknow scenario in terms of impact over the power supply demand, electrical transmission and distribution required to supply it. As main conclusion of this paper it is quote the strong and weak side of currently architectures applied onto vehicles and charger stations, and a briefing regarding the battery's technologies, a stress point of this new transport mode.
Resumo: Este artigo trata de uma breve revisão sistemática sobre o uso da programação de computadores para automação de modelagem 3D na indústria automotiva. Este estudo contribui para o entendimento das técnicas de programação que estão sendo usadas bem como o ambiente de desenvolvimento de produto que elas estão inseridas e como a modelagem 3D está sendo beneficiada.
In response to the growing pressure from civil society on the automotive industry and governments regarding the sustainability and reduction of environmental impacts of vehicular fleets, there has been a substantial increase in the application and development of technologies applied to vehicular electrification. Among the efforts to massify electric vehicles there are aspects of their reduced autonomy compared to combustion vehicles. The studies concerning vehicle aspects that influence vehicle autonomy become imperative so that the best driving practices and energy management strategies are mapped and known. This work aimed to evaluate the influence of the driver profile on the autonomy of electric vehicles. Data were obtained through a device connected to the OBDII port and collected significant information for vehicle parameters evaluation such as speed, battery level, distance covered, autonomy, and so on. The results obtained, albeit preliminary, indicate that the profile of the driver influences the autonomy of electric vehicles.
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