Maranello, Italy
Maranello, Italy

Ferrari S.p.A. is an Italian luxury sports car manufacturer based in Maranello. Founded by Enzo Ferrari in 1929, as Scuderia Ferrari, the company sponsored drivers and manufactured race cars before moving into production of street-legal vehicles as Ferrari S.p.A. in 1947. Fiat acquired 50% of Ferrari in 1969 and expanded its stake to 85% in 2008. In 2014 Fiat announced its intentions to sell its share in Ferrari, as of the announcement Fiat owned 90% of Ferrari.Throughout its history, the company has been noted for its continued participation in racing, especially in Formula One, where it has had great success. Ferrari road cars are generally seen as a symbol of speed, luxury and wealth. Wikipedia.


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Patent
Ferrari | Date: 2016-09-23

A road vehicle with an electric drive having: a heat engine provided with a carrier shaft; a gearbox; at least one pump actuated by a carrier shaft; at least a reversible electric machine; a first mechanical transmission, which transmits the motion from the drive shaft of the heat engine to the carrier shaft and is provided with a first freewheel; a second mechanical transmission, which transmits the motion from the shaft of the electric machine to the carrier shaft and is provided with a second freewheel; and a third mechanical transmission, which is arranged in parallel to the second mechanical transmission, transmits the motion from the shaft of the electric machine to the carrier shaft, is provided with a third freewheel and reverses the direction of motion with respect to the second mechanical transmission.


Patent
Ferrari | Date: 2016-09-02

A dashboard for a road vehicle; the dashboard having: a digital screen; and an analogue instrument, which is provided with a circular support element and a pointer that moves inside the support element; the analogue instrument can be arranged in an operating position, in which the analogue instrument overlaps the digital screen so that the support element of the analogue instrument covers a corresponding part of said digital screen; and the support element of the analogue instrument is opaque and has a plurality of through openings, through which the light generated by the underlying digital screen can come out.


A method to control a hybrid vehicle with a parallel architecture and with a known speed profile divided into a plurality of reference time intervals with a constant speed or with a constant acceleration. The method includes the steps of determining a driving torque to be transmitted to the drive wheels, which allows the mean specific fuel consumption of the internal combustion engine to be minimized as a function of the power, of the mechanical energy requested in the reference time interval and of the constant speed or acceleration in the reference time interval; then determining the optimal distribution of the mechanical energy so as to globally minimize the cumulative fuel consumption over the entire actuation profile; and controlling the reversible electrical machine to deliver an additional driving torque as a function of the driving torque to be transmitted to the drive wheels.


A method to control a hybrid vehicle with a parallel architecture and with an unknown speed profile, wherein the hybrid vehicle is provided with an internal combustion engine and with a reversible electrical machine connected to a storage system designed to store electrical energy; the method comprises the steps of recognizing the operating mode of the hybrid vehicle; determining a function of the specific fuel consumption of the drive system of the hybrid vehicle as a function of the operating mode of the hybrid vehicle; determining the optimal value of the power of the storage system and the optimal value of the power of the internal combustion engine, which correspond to the values that permit a minimization of said function.


A method to control an electric motor including the steps of: determining a target torque; calculating a target current by dividing the target torque by a torque constant; determining an equivalent impedance by means of a predetermined map; calculating the voltage drop by multiplying the target current by the equivalent impedance; calculating a counter-electromotive force by multiplying an actual rotation speed by a speed constant; determining a control voltage to be applied to the power supply terminals of the electric motor by adding the voltage drop to the counter-electromotive force; determining an offset parameter; and correcting the equivalent impedance provided by the predetermined map by applying the offset parameter.


A control method for carrying out a gear shift in a transmission provided with a dual-clutch gearbox, so as to shift from a current gear to a following gear. The control method comprises the steps of; receiving a gear-shift command; filling with oil, always supplying the maximum possible oil flow rate, a second clutch associated with the following gear after receiving the gear-shift command; completely closing the second clutch at the maximum possible speed as soon as the oil filling ends; and completely opening a first clutch associated with the current gear A at the maximum possible speed as soon as the oil filling in the second clutch ends.


A control method for carrying out a gear shift in a transmission provided with a dual-clutch gearbox, so as to shift from a current gear to a following gear; the control method comprises the steps of: receiving a gear shift command; opening a first clutch associated with the current gear; closing a second clutch associated with the following gear; determining whether a driving style is a comfort driving style, an energy efficiency driving style, a sports driving style or a racing driving style; and in case of upshifting, controlling the second clutch after the complete closing of the second clutch, so as to allow said second clutch to temporarily transmit a torque that is greater than the torque to be transmitted by the second clutch immediately after the gear shift and than the torque transmitted by the first clutch immediately before the gear shift, only in case of energy efficiency or racing driving style.


A method for detecting the anti-knocking capacity of a fuel in an internal combustion engine, which comprises the step of analyzing the single combustion cycles of the cylinders to be repeated until a counter reaches a respective threshold value; the step of calculating the mean spark advance operated by the internal combustion engine in the single combustion cycles of the cylinders that have allowed said counter to reach the respective threshold value; and the step of determining the anti-knocking capacity of the fuel as a function of the first counter that has reached the respective threshold value and as a function of the mean spark advance operated by the internal combustion engine in the single combustion cycles of the cylinders that have allowed said counter to reach the respective threshold value.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FOF-13-2016 | Award Amount: 3.24M | Year: 2016

The aim of DREAM is to significantly improve the performances of laser Powder Bed Fusion (PBF) of titanium, aluminium and steel components in terms of speed, costs, material use and reliability, also using a LCA/LCC approach, whilst producing work pieces with controlled and significantly increased fatigue life, as well with higher strength-to-weight ratios. DREAM targets the development of a competitive supply chain to increase the productivity of laser-based AM and to bring it a significant step further towards larger scale industrial manufacturing. In order to upscale the results and to reach an industrial relevant level of productivity, the project is focused on the following four main challenges (i) Part modeling and topology optimization (ii) Raw material optimization to avoid powder contamination (iii) Process optimization, including innovations of the control software of the AM machine, to enable high throughput production (iv) Setup of laser-PBF of nanostructured Titanium alloys with unchanged granulometric dimension for an additional push to higher productivity, since nanostructured metal powders can be sintered with lower energy input and faster speed. The project, thanks to the three end-users involved, is focused on components for prosthetic, automotive and moulding applications to optimize the procedure for three different materials, respectively titanium, aluminium and steel.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FoF-05-2014 | Award Amount: 4.82M | Year: 2015

Manutelligence targets the product-service emerging trend; aiming at providing to EU manufacturing companies: - Efficiency in the design process, through ubiquitous cross-disciplinary collaborative management of P-S engineering knowledge across the entire life-cycle phases; - Complete integration of Product Lifecycle Management and Service Lifecycle Management, using methodologies and tools to support cross development; - Involvement of all the key partakers in the supply chain, including customers; - The ability to Search, retrieve and reuse data from heterogeneous data sources during design, manufacturing, testing and usage; - To manage, reuse and optimize designs, promoting modularity and Engineering Design Codified Knowledge, through KBE and design automation; - Close knowledge loop cycles between design, manufacturing, testing and use of products; - To extend and improve the use of Simulation and optimize it through comparison with test bench and real usage data; - Precise and quick measures and simulations of Cost and Sustainability issues, through Life Cycle Cost (LCC), Life Cycle Analysis (LCA) and CO2 footprint. To achieve these needs, ManuTelligence aims to integrate best in class methodology and tools from research and industry, resulting in a secure, cross disciplinary collaborative Product/Service Design and Manufacturing Engineering Platform. This platform will enable designers and engineers to access through natural 3D experiences to data from both the traditional enterprise IT systems (CAD, CAX, PLM, MES, etc.) and IoT enabled systems for physical products information and knowledge management. Such a platform, to have success on the market, needs to be inclusive, facilitating the cooperation and collaboration of enterprises. For this reason, it has been decided from the draft architecture, that it will have interfaces based on Open Standard (e.g. STEP and the OpenGroup QLM.

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