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In order to develop the bottom driver software more rapidly and efficiently which are used in automotive battery management system and to get rid of high dependence on the hardware and low reusability of the drivers in automobile controller, this paper puts forward a kind of driver design method based on automotive open system architecture (AUTOSAR). Simulation modeling module has been made with the...
Real-time simulation tools are commonly used for designing and testing of automotive embedded control systems. In addition, the Hardware-In-the-Loop (HIL) technique enables previous verification and validation of control strategy avoiding an expensive and time-consuming field test. For this reason, this paper shows a HIL platform for designing and testing of Electrical Power Assisted Steering Systems...
Automotive sensors market has valued 19.7 USD billion in 2014 with an expectation of growth up to 30.0 billion in 2020 [1]. Among the different types of sensors for automotive, devices for safety applications result particularly important and appealing. In this scenario, elastomeric polymers represent a low cost, easy-to-use choice that results to be suitable for large-scale application. In this work,...
The technology in the area of automated vehicles is gaining speed and promises many advantages. However, with the recent introduction of conditionally automated driving, we have also seen accidents. Test protocols for both, conditionally automated (e.g., on highways) and automated vehicles do not exist yet and leave researchers and practitioners with different challenges. For instance, current test...
Today automotive headlights are using high current Light Emitting Diodes (LEDs). LED drivers are necessary to provide the appropriate voltage out of the car battery. Recent microcontroller-based solutions are costly and power hungry. This paper presents a power-efficient LED driver. The design is CISPR25 class-3 EMI compliant and supports ISO 7637-2 and ISO 16750-2 standards. In addition, the system...
In this article, an averaged field strength estimation with small time consumption is carried out in a commercial vehicle structure modelled as an enclosed large cavity with several apertures. Well-known commercially available software employing full EM-based algorithms such as FDTE, FEM, and MoM require a lot of resource and much time consumption. However, a topological modeling and PWB(PoWer Balance)...
Battery and energy management methodologies such as automotive climate controls have been proposed to address the design challenges of driving range and battery lifetime in Electric Vehicles (EV). However, driving behavior estimation is a major factor neglected in these methodologies. In this paper, we propose a novel contextaware methodology for estimating the driving behavior in terms of future...
Automotive networks are simple, real-time networks with very low error rates. In-vehicle infotainment (IVI) systems include GPS-based navigation and wireless hotspots for cellular communication. In the event of a power outage or a major catastrophe, such as an earthquake, existing network mainframes may either shut down completely or become overloaded with traffic. In that regard, it is important...
In the last 20 years, most vehicles have seen a large increase in complexity of the electronic and software systems, e.g. the number of electronic control units (ECUs) increased to over 70 in many cars and connectivity to the Internet or over Bluetooth is possible. In combination, the increased complexity and a large attack surface due to the connectivity makes it necessary to investigate the security...
Most industrial embedded systems requirements are specified in natural language, hence they can sometimes be ambiguous and error-prone. Moreover, employing an early-stage model-based incremental system development using multiple levels of abstraction, for instance via architectural languages such as EAST-ADL, calls for different granularity requirements specifications described with abstraction-specific...
In this paper we perform a safety analysis while applying state-based power optimization strategies using the AUTOSAR energy saving mechanism partial networking. Based on a case study of a braking system of a production-class Electric Vehicle (EV), we first show which safety issues could be introduced by applying partial networking. Then, based on our energy measurements of the ECU and the pressure...
Automotive safety systems aim to provide maximum protection to vehicle occupants and vulnerable road users. These safety features rely on data from surround sensors such as radar, lidar and camera, which provide detailed information about the environment of the vehicle. A minor error in the measurements of these sensors can lead to major injuries or death. Hence, the reliability and accuracy of these...
Automotive safety validation requires evaluation on a statistically representative set of roadway configurations and scene geometries. Scenes must be sampled from a statistical model representative of what actually occurs on roadways. This paper introduces a methodology for realistic scene model construction based on factor graphs that can be applied to arbitrary road geometries. Parameter learning...
This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<1000...
Future Advanced Driver Assistance Systems (ADAS) require the continuous computation of detailed maps of the vehicle's environment. Due to the high demand of accuracy and the enormous amount of data to be fused and processed, common architectures used today, like single-core processors in automotive Electronic Control Units (ECUs), do not provide enough computing power. Here, emerging embedded multi-core...
An increase in the amount of program code used in the firmware of electronic control units (ECUs) in vehicles has led to an increase in updates after sales to resolve bugs in the program code. In this situation, automakers are beginning to introduce over-the-air firmware update technology currently used in the mobile phone industry. We developed an incremental update method based on BSDiff and demonstrated...
The market opportunity for driver assisted, driver piloted, and fully driverless cars is projected to reach 42 Billion by 2025. As a result, advanced “IMA like” automotive solutions are being explored and are focused on developing and maturing next generation transformational IMA technologies. Five future IMA dual use focus areas that have the potential to be transformational enablers for affordability,...
Over the past decade, the complexity of electronic devices in the automotive systems increased significantly. The modern high level vehicles include more than 70 Electronic Control Units (ECUs) aimed at managing the powertrain of the vehicle, and improving passengers' comfort and safety. ECU microcontrollers aimed at the control of the fuel injection system have a key role. In this paper we present...
Current education institutions lack adequate tools for teaching software programming for automotive area, especially In-Vehicle Infotainment (IVI), with available tools constrained to a palette of proprietary, closed solutions. In this paper we give an overview of a pilot In-Vehicle Infotainment Learning platform (PIVILP), based on open source technologies and achievable in any educational environment...
Future vehicles will be wirelessly connected to nearby vehicles, to the road infrastructure and to the Internet in order to enable new comfort features, safety functions and a number of new vehicle-specific services. The latter will include a fast, secure, and reliable way to remotely diagnose and reconfigure a vehicle as well as to install new software on the electronic control units integrated in...
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