CAN-based Data Acquisition System for Hybrid Powertrain HIPPO-2

Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Συστήματα Αυτοματισμού

study of a hardware in the loop bench for an electrified working vehicle

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CANbus System Research and Application on the Industrial Vehicle Based on J1939 Potocol

随着科技创新的不断发展，特别是近些年电子技术的日新月异，以及微电子 技术的广泛应用，越来越多的电子产品应用的车辆技术中，工程车辆领域也不例 外。越来越多的电子技术应用到其中。特别是CAN总线技术的广泛应用，给工 程车辆的电气控制技术带来了很大的技术革新。 本文将以本人的工作性质，即开发设计工程车辆的电气系统，根据目前的集 装箱空箱堆高机的技术落后的现状，采用当前引领技术潮流的J1939协议总线技 术，开发适合堆高机总线控制电气系统，对工程车辆将来的技术发展和创新有积 极的意义。本文将进行以下几个方面的讨论。 （1）分析堆高机当前的技术状态和从技术的角度介绍堆高机的各个系统。 ...With the continuous development of science and technology innovation, especially in recent years, electronic technology is changing with each passing day, and microelectronic technology widely used, more and more electronic products used in vehicle technology, vehicle engineering is no exception. More and more technology is applied to it.. In particular, the application of CAN bus technology h...学位：工学硕士院系专业：物理与机电工程学院_工程硕士(机械工程)学号：X200918201

Tractor Hacking

Tractor hacking arose from tractor owners\u27 desire for full control over the tractors they purchase. Tractor manufacturers set strict security on the electrical components of their tractors, making it difficult for tractor owners to diagnose and monitor their tractors on their own. The UltraBlue Tractor Hacking project is a solution to this problem, allowing tractor owners to perform diagnostics and monitor the equipment they purchased without having to go through dealerships. From talking to farmers, we found that they valued a diagnostic tool that allows for clearing and resetting Diagnostic Trouble Codes (DTCs), viewing diagnostic data pertaining to a specific fault that was detected by an electronic control unit (ECU) in the tractor, and obtaining a repair plan from the diagnostics data. This project is an attempt to provide tractor owners and technicians the hardware and software necessary to diagnose, monitor, and repair their equipment without the need for manufacturer technicians and repair services. Our product is a device that utilizes the SAE J1939 standard to implement diagnostic and monitoring functionalities on tractors that conform to the SAE J1939 standard. Both the hardware and software have gone through rigorous testing and validation to ensure that we are following the standards set by SAE J1939. After that was completed, we tested our device on John Deere tractors to test the effectiveness of our implementation of a diagnostic tool. However, the results of these tests led us to conclude that not all John Deere tractors conform to the SAE J1939 standard

Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles

Modelling the dynamic behaviour of heavy vehicles, such as buses or trucks, can be very useful for driving simulation and training, autonomous driving, crash analysis, etc. However, dynamic modelling of a vehicle is a difficult task because there are many subsystems and signals that affect its behaviour. In addition, it might be hard to combine data because available signals come at different rates, or even some samples might be missed due to disturbances or communication issues. In this paper, we propose a non-invasive data acquisition hardware/software setup to carry out several experiments with an urban bus, in order to collect data from one of the internal communication networks and other embedded systems. Subsequently, non-conventional sampling data fusion using a Kalman filter has been implemented to fuse data gathered from different sources, connected through a wireless network (the vehicle's internal CAN bus messages, IMU, GPS, and other sensors placed in pedals). Our results show that the proposed combination of experimental data gathering and multi-rate filtering algorithm allows useful signal estimation for vehicle identification and modelling, even when data samples are missing

Development of Microgrid Test Bed for Testing Energy Management System

Today the world population has reached 7.5 billion, and this number is expected to grow at the rate of 1.13% every year [1]. With this increase in population, the total demand for electricity has also increased. More people means the need for more power: electricity to power homes, schools, industries, hospitals, and so on. In today’s world, where most of the daily activities are dependent on electricity, demand for electricity, therefore, continues to rise. Currently, managing this growing need for electricity is one of the challenges the world is facing. In addition to this, approximately 1.2 billion people live in remote parts of the world where the electricity supply is either limited or non-existent [2]. Providing an affordable and easily available source of electricity to this population is another challenge. In response to these challenges, a significant number of countries are investing in the integration of renewable resources for energy production. Renewable resources such as the sun, wind, and water are free, clean, and readily available. Remote and poor parts of the world can also benefit by utilizing these available energy sources for electricity generation. The use of renewables helps to decrease the overall cost of electricity generation as well. This need for clean and safe energy has contributed to creating and promoting the concept of microgrids around the world. Microgrids are defined as small-scale power distribution networks with distributed energy sources, loads, and storage. They can operate in either grid-connected or islanded mode. Renewable sources are intermittent in nature, and uncertainties are always present in the microgrid operation when using these resources. The Energy Management technique is required for the coordination of these resources in order to mitigate the potential risks. Some studies have been conducted in the area of microgrid operation, stability, and control, and various types of laboratory-based microgrid test beds have been developed. A microgrid test bed allows testing of scaled down systems in order to test and simulate large real-world microgrid projects. The objective of this study is to develop a reconfigurable microgrid test bed. This test bed is created on a laboratory scale and is capable of testing energy management algorithms to validate real-time operation. A novel approach to automatic microgrid operation is proposed with the use of commercial off-the-shelf equipment and the Controller Area Network (CAN) protocol. The OPAL-RT 5600 real-time simulator is used as a central controller for controlling and scheduling microgrid sources to supply the load, charge the battery and, read a state of charge values. The CAN communication protocol is used by the controller to control and coordinate different components. Different cases are studied in order to support the reconfigurability, automatic operation, and energy management in the microgrid test bed using the CAN bus

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Most of the fruit in Europe is transported by road, but the saturation of the major arteries, the increased demand for freight transport, and environmental concerns all indicate there is a need to change this means of transport. A combination of transport modes using universal containers is one of the solutions proposed: this is known as intermodal transport. Tracking the transport of fruit in reefer containers along the supply chain is the means by which product quality can be guaranteed. The integration of emerging information technologies can now provide real-time status updates. This paper reviews the literature and the latest technologies in this area as part of a national project. Particular emphasis is placed on multiplexed digital communication technologies and wireless sensor networks

Design of in-vehicle networked control system architectures through the use of new design to cost and weight processes : innovation report

Over the last forty years, the use of electronic controls within the automotive industry has grown considerably. In-vehicle network technologies such as the Controller Area Network (CAN) and Local Interconnect Network (LIN) are used to connect Electronic Control Units (ECU) together, mainly to reduce the amount of wiring that would be required if hardwired integration were used. Modern passenger cars contain many networks, which means that for the architecture designer, there is an almost overwhelming number of choices on how to design/partition the system depending on factors such as cost, weight, availability of ECUs, safety, Electro-Magnetic Compatibility (EMC) etc. Despite the increasing role played by in-vehicle networks in automotive electrical architectures, its design could currently be described as a “black art”. Not only is there an almost overwhelming number of choices facing the designer, but there is currently a lack of a quantifiable process to aid decision making and there is a dearth of published literature available. NetGen is a software tool used to design CAN/J1939, LIN and FlexRay networks. For the product to remain competitive, it is desirable to have novel features over the competition. This report describes a body of work, the aim of which was to research in-vehicle network design processes, and to provide an improvement to such processes. The opportunities of customer projects and availability of customer information resulted in the scope of the research focusing on the adoption of LIN technology and whether the adoption of it could reduce the cost and weight of the target architecture. The research can therefore be seen to address two issues: firstly the general problem of network designers needing to design in-vehicle network based architectures balancing the needs of many design targets such as cost, weight etc, and secondly the commercial motivation to find novel features for the design tool, NetGen. The outcome of the research described in this report was the development of design processes that can be used for the selection of low cost and weight automotive electrical architectures using coarse information, such as that which would be easily available at the very beginning of a vehicle design programme. The key benefit of this is that a number of candidate networked architectures can be easily assessed for their ability to reduce cost and weight of the electrical architecture