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2017-05-18
Journal Article
2017-01-9680
Husain Kanchwala, Pablo Luque Rodriguez, Daniel Alvarez Mantaras, Johan Wideberg, Sagar Bendre
Abstract In recent times, electric vehicles (EV) are gaining a lot of attention as they run clean and are environment friendly. Recent advances in the applications of integrating control systems in automotive vehicles have made it practicable to accomplish improvement in vehicle's longitudinal and lateral dynamics. This paper deals with a brief overview of current state of art vehicle technologies like direct yaw moment control, traction control and side slip control of EV. There are various controller algorithms available in literature with different torque vectoring strategies. As EV can be precisely controlled because of quick in hub wheel motor response times, therefore various torque vectoring strategies can be comfortably used for enhancing vehicle dynamics. Moreover, by using four independent in-wheel motors, several types of motion controls can be performed.
2017-03-28
Technical Paper
2017-01-1137
Xiaofeng Yin, Han Lu, Xiaohua Wu, Yongtong Zhang, Wei Luo
Abstract For the vehicle equipped with stepped automatic transmission (SAT) that has a fixed number of gears, gearshift schedule is crucial to improve the comprehensive performance that takes into account power performance, fuel economy, and driver’s performance expectation together. To optimize and individualize the gearshift schedule, an optimization method and an improved performance evaluation approach for multi-performance gearshift schedule were proposed, which are effective in terms of reflecting the driver's expectation on different performance. However, the proposed optimization method does not consider the influence of the road slope on the comprehensive performance. As the road slope changes the load of vehicle that is different from the load when a vehicle runs on a level road, the optimized gearshift schedule without considering road slope is obviously not the optimal solution for a vehicle equipped with SAT when it runs on ramp.
2017-03-28
Technical Paper
2017-01-1257
Haotian Wu
Abstract Previous studies have investigated various hybrid and electric powertrain architectures to balance concerns about the energy consumption and drivability. However, present architectures have some intrinsic drawbacks on the powertrain torque winding up, weight, packaging and energy harvest. This study proposed an electric powertrain that is powered by four independent motor drive. In order to investigate the drivability and regeneration braking performance, physics-based models of vehicle, motor and battery were developed; meanwhile, the dual-loop feedforward motor control and hybrid sliding mode control were presented. The Physics model-based evaluation was conducted by using the co-simulation technology of LMS AMESim and Simulink. The results show that the proposed four-wheel independent electric powertrain can achieve better drivability and regeneration braking performance. The proposed hybrid sliding mode control can converge faster than the bang-bang control.
2017-03-28
Technical Paper
2017-01-1223
Ji Zhang, Mengjing Shen, Xi Zhao
Abstract There are many electronic devices in electric vehicle (EV), making its electromagnetic compatibility (EMC) serious. Motor drive system is the main interference source of EV, whose electromagnetic interference (EMI) is much worse than conventional vehicle. In this paper, the motor drive system of EV was mainly researched, and a co-simulation method was proposed: control system and motor model were established with Matlab, and the equivalent circuit model of inverter and the cable model were established with Saber. By this way, a complete motor drive system model for conductive EMI was obtained. This modeling method can not only accurately establish the EMI sources and coupling paths, but can simulate the control strategy and operating conditions.
2017-03-28
Technical Paper
2017-01-1252
Ming Cheng, Lei Feng, Bo Chen
Abstract This paper studies the nonlinear model predictive control for a power-split Hybrid Electric Vehicle (HEV) power management system to improve the fuel economy. In this paper, a physics-based battery model is built and integrated with a base HEV model from Autonomie®, a powertrain and vehicle model architecture and development software from Argonne National Laboratory. The original equivalent circuit battery model from the software has been replaced by a single particle electrochemical lithium ion battery model. A predictive model that predicts the driver’s power request, the battery state of charge (SOC) and the engine fuel consumption is studied and used for the nonlinear model predictive controller (NMPC). A dedicated NMPC algorithm and its solver are developed and validated with the integrated HEV model. The performance of the NMPC algorithm is compared with that of a rule-based controller.
2017-03-28
Technical Paper
2017-01-1251
Bin Zhou, Jeffrey Burl, Amir Rezaei
Abstract This paper presents results on how the Equivalent Consumption Minimization Strategy (ECMS) penalty factor effects Lithium ion battery aging. The vehicle studied is the Honda Civic Hybrid. The battery used is A123 Systems’. Vehicle simulation using multiple combinations of highway and city drive cycles. For each combination of drive cycles, six ECMS penalty factor values are used. Battery aging is evaluated using a semi-empirical model combined with accumulated Ah-throughput method which uses, as an input, the battery state of charge trajectory from the vehicle simulations. The tradeoff between fuel cost and battery aging cost is explicitly displayed. In addition, the results provide insight into how driving behavior affects battery aging. The paper concludes with a discussion of the optimal balance between fuel cost and battery aging.
2017-03-28
Technical Paper
2017-01-1446
Allen Charles Bosio, Paul Marable, Marcus Ward, Bradley Staines
Abstract A dual-chambered passenger airbag was developed for the 2011 USNCAP to minimize neck loading for the belted 5th female dummy while restraining the unbelted 50th dummy for FMVSS208. This unique, patented design adaptively controlled venting between chambers based on occupant stature. A patented pressure-responsive vent on the second chamber permitted aspiration into the second chamber before a delayed outflow to the environment. The delayed flow through the pressure-responsive vent from the second chamber acted like a pressure-limiting membrane vent to advantageously reduce the injury assessment values for the HIC and the Nij for the 5th female dummy.
2017-03-28
Technical Paper
2017-01-1601
Max Mauro Santos, Celso Mendes, Taysa Banik, Felipe Franco, João Neme, Wanderley Prado, Fernando Cerri, Lauro Nunes
Abstract This paper outlines the modeling process in SysML (Systems Modeling Language) in context of MBSE (Model Based Software Engineering) as well as the MBD (Model-Based Design) in Simulink and we compare the models to get useful information into software. For this goal, we propose the use of an RM/SM tool (Requirements Management and Systems Modeling) (3SL Cradle) and Matlab/Simulink to model the system, do the system validations, and finally embed the generated code. For automotive systems, the development process is visualized through the V-Model, which leads to the right choice of components, the integration of the system and the project realization. The first step in V-Model handles the requirements management for the development, i.e., the requirements for a project will be collected in respect to the stakeholder’s needs and system limitations.
2017-03-28
Technical Paper
2017-01-1572
Wesley Kerstens
Abstract The detection and diagnosis of sensor faults in real-time is necessary for satisfactory performance of vehicle Electronic Stability Control (ESC) and Roll Stability Control (RSC) systems. This paper presents an observer designed to detect faults of a roll rate sensor that is robust to model uncertainties and disturbances. A reference vehicle roll angle estimate, independent of roll-rate sensor measurement, is formed from available ESC inertial sensor measurements. Residuals are generated by comparing the reference roll angle and roll rate, with the observer outputs. Stopping rules based on the current state of the vehicle and the magnitude of the residuals are then used to determine if a sensor fault is present. The system’s low order allows for efficient implementation in real-time on a fixed-point microprocessor. Modification of the roll rate sensor signal during in vehicle experiments shows the algorithm’s ability to detect faults.
2017-03-28
Technical Paper
2017-01-1608
Sara Dadras, Hadi Malek
Abstract Loosely coupled transformers are commonly used in inductive power transfer (IPT) systems which are inevitable part of electrified transportation. Since efficiency of these systems is mainly dependent on alignment of primary (ground side) and secondary (vehicle side) coils, estimation of coupling coefficient has a significant impact on the performance of IPT chargers. However, despite the requisite need for a plausible estimation algorithm, the lack of a simple, optimal and unsusceptible to noise algorithm is noticeable. In this paper, we introduce a new online optimal prediction method for IPT systems allowing a precise real time estimation of the coupling coefficient in the presence of measurement noises and system uncertainties. Using IPT system dynamics, the estimation scheme is proposed based on Kalman filter algorithm. This algorithm is optimal, tractable and robust and its estimation are promising as simulation results reveal.
2017-03-28
Technical Paper
2017-01-1614
David Hill, Joel Op de Beeck, Mihai Baja, Issam Djemili, Paul Reuther, Iris Sutra
Abstract As electronics make their way into the fuel system, a shift in problem solving can be seen. Previously high risk items were tackled mainly through proving component durability and decreasing the statistical odds of the problem occurring. With an electronically controlled system however it is possible and necessary to define degraded modes, in the event that certain components fail, in order to provide at least a limited functionality for the customer. This paper will discuss some different use cases, and how embedded software can be used to improve functionality over a passive system.
2017-03-28
Technical Paper
2017-01-1656
Daehyun Kim, Eunho Shin, Jin Seo Park, KyungSu LEE, Kok Cheng Gui, Klaus Scheibert
Abstract Vehicle Security means protecting potential threats, unintended malfunction and illegal tuning. In addition, it has become a more important issue on an automotive system as it is directly connected to the driver and pedestrian's life. Automotive industry significantly needs to enhance security policies to prevent attacks from hackers. Nevertheless, in some systems, performance still has to be considered at first when security functions are implemented. Especially, in case of Engine Management System (EMS), fast engine synchronization for starting should be considered as the first priority. This paper is intended to show an approach to design efficient secure boot implementation for EMS. At the beginning of this paper, the concept of secure boot is explained and several use cases are introduced according to execution modes, such as the foreground and background secure boot modes. As a next step, engine starting process by EMS is explained.
2017-03-28
Technical Paper
2017-01-1668
Amin Emrani, Steve Spadoni
Abstract The demand for more features in a vehicle is growing at an extraordinary rate. This trend especially with emerging autonomous functions shows no sign of slowing. The energy requires to supply this ever growing system goes through multiple conversion, protection and other elements before it actually powers the loads. Considering the loss of each of these elements for a vehicle and multiplying the value by the total numbers of cars, underlines the need for an optimized electrical distribution system to power all loads efficiently. In this paper, Smart Step-Down Convertor is introduced as a power supply to power devices which operate at voltages below the power net voltage while protecting the power net and the devices against faults.
2017-03-28
Technical Paper
2017-01-0432
Bing Zhu, Zhipeng Liu, Jian Zhao, Weiwen Deng
Abstract Adaptive cruise control system with lane change assistance (LCACC) is a novel advanced driver assistance system (ADAS), which enables dual-target tracking, safe lane change, and longitudinal ride comfort. To design the personalized LCACC system, one of the most important prerequisites is to identify the driver’s individualities. This paper presents a real-time driver behavior characteristics identification strategy for LCACC system. Firstly, a driver behavior data acquisition system was established based on the driver-in-the-loop simulator, and the behavior data of different types of drivers were collected under the typical test condition. Then, the driver behavior characteristics factor Ks we proposed, which combined the longitudinal and lateral control behaviors, was used to identify the driver behavior characteristics. And an individual safe inter-vehicle distances field (ISIDF) was established according to the identification results.
2017-03-28
Technical Paper
2017-01-0061
Sultan A.M Alkhteeb, Shigeru Oho, Yuki Nagashima, Seisuke Nishimura, Hiroyuki Shimizu
Abstract Lightning strikes on automobiles are usually rare, though they can be fatal to occupants and hazardous to electronic control systems. Vehicles’ metal bodies are normally considered to be an effective shield against lightning. Modern body designs, however, often have wide window openings, and plastic body parts have become popular. Lightning can enter the cabin of vehicles through their radio antennas. In the near future, automobiles may be integrated into the electric power grid, which will cause issues related to the smart grid and the vehicle-to-grid concept. Even today, electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are charged at home or in parking lots. Such automobiles are no longer isolated from the power grid and thus are subject to electric surges caused by lightning strikes on the power grid.
2017-03-28
Technical Paper
2017-01-0081
Majid Majidi, Majid Arab, Vahid Tavoosi
Abstract In this research, an optimal real-time trajectory planning method is proposed for autonomous ground vehicles in case of overtaking a moving obstacle. When an autonomous vehicle detects a moving vehicle ahead of it in a proper speed and distance and the braking is not efficient due to the lost of its kinematic energy, the autonomous vehicle decides to overtake the obstacle by performing a double lane-change maneuver. A two-phase nonlinear optimal problem is developed for generating the path for the overtaking maneuver. The cost function of the first phase is defined in such a way that the vehicle approaches the moving obstacle as close as possible. Besides, the cost function of the second phase is defined as the minimization of the sum of the vehicle lateral deviation from the reference path and the rate of steering angle during the overtaking maneuver while the lateral acceleration of the vehicle does not exceed a safe limit.
2017-03-28
Technical Paper
2017-01-0090
Ondrej Santin, Jaroslav Beran, Jaroslav Pekar, John Michelini, Junbo Jing, Steve Szwabowski, Dimitar Filev
Abstract Conventional cruise control systems in automotive applications are usually designed to maintain the constant speed of the vehicle based on the desired set-point. It has been shown that fuel economy while in cruise control can be improved using advanced control methods namely adopting the Model Predictive Control (MPC) technology utilizing the road grade preview information and allowance of the vehicle speed variation. This paper is focused on the extension of the Adaptive Nonlinear Model Predictive Controller (ANLMPC) reported earlier by application to the trailer tow use-case. As the connected trailer changes the aerodynamic drag and the overall vehicle mass, it may lead to the undesired downshifts for the conventional cruise controller introducing the fuel economy losses. In this work, the ANLMPC concept is extended to avoid downshifts by translating the downshift conditions to the constraints of the underlying optimization problem to be solved.
2017-03-28
Technical Paper
2017-01-0738
Akhilendra Pratap Singh, Avinash Kumar Agarwal
Abstract Premixed charge compression ignition (PCCI) combustion is an advanced combustion technique, which has the potential to be operated by alternative fuels such as alcohols. PCCI combustion emits lower oxides of nitrogen (NOx) and particulate matter (PM) and results thermal efficiency similar to conventional compression ignition (CI) engines. Due to extremely high heat release rate (HRR), PCCI combustion cannot be used at higher engine loads, which make it difficult to be employed in production grade engines. This study focused on development of an advanced combustion engine, which can operate in both combustion modes such as CI combustion as well as PCCI combustion mode. This Hybrid combustion system was controlled by an open engine control unit (ECU), which varied the fuel injection parameters for mode switching between CI and PCCI combustion modes.
2017-03-28
Technical Paper
2017-01-1679
Felix Martin, Michael Deubzer
Abstract In the automotive industry a steady increase in the number of functions driven by innovative features leads to more complex embedded systems. In the future even more functions will be implemented in the software, especially in the areas of automatic driving assistance functions, connected cars, autonomous driving, and mobility services. To satisfy the increasing performance requirements, multi- and many-core controllers are used, even in the classic automotive domains. This case study has been conducted in the steering system domain, but the results can be applied to other areas as well. Safety critical functions of classic automotive domains must fulfill strict real-time requirements to avoid malfunctions, which can potentially endanger people and the environment. For this reason, ISO 26262 requires verification of the performance and timing behavior of system critical functions.
2017-03-28
Technical Paper
2017-01-1618
Max Mauro Dias Santos, Victor Ambiel, Mauro Acras, Peter Gliwa
Abstract Modern cars contain more and more safety-relevant features which require addressing safety aspects during all development phases: on the functional level, on the architectural level, during integration as well as throughout the verification. The workflow of designing safe and reliable automotive embedded systems start with appropriate requirements definitions. According to the automotive safety standard ISO 26262, functional as well as non-functional threats need to be addressed. Non-functional aspects of safe software include a sound and safe timing of the software. The right methods, tools and standards enable OEMs and suppliers developing and providing applications which meet their timing requirements and a high level of quality. We present with this paper some important aspects related to timing in automotive embedded systems as well as the major standards such as TIMMO and AUTOSAR.
2017-03-28
Technical Paper
2017-01-1681
Kyaw Soe
Abstract This paper describes a test system for improving the completeness and representativeness of automotive electrical/electronic (E/E) test benches. This is with the aim to enable more testing and hence increase the usage and effectiveness of these facilities. A proportion of testing for automotive electrical and electronics systems and components is conducted using E/E testing boards (“test-boards”). These are table-like rigs consisting of most or all electrical and electronic parts connected together as per a car/truck/van. A major problem is that the testing is conducted on the equivalent of a static vehicle: test-boards lack basic dynamic elements such as a running engine, vehicle motion, environmental, component and fluid temperatures, etc. This limits the testing that can be carried out on such a test-board.
2017-03-28
Technical Paper
2017-01-1382
Michelle L. Reyes, Cheryl A. Roe, Ashley B. McDonald, Julia E. Friberg, Daniel V. McGehee
Abstract Advanced driver assistance systems (ADAS) show tremendous promise for increasing safety on our roadways. However, while these technologies are rapidly infiltrating the American passenger vehicle market, many consumers have little to no experience or knowledge of them prior to getting behind the wheel. The Technology Demonstration Study was conducted to evaluate how the ways in which drivers learn about ADAS affect their perceptions of the technologies. This paper investigates drivers’ knowledge of the purpose, function, and limitations of the advanced driver assistance technology of adaptive cruise control (ACC), along with ratings of perceived usefulness, apprehension, and effort required to learn to use ACC.
2017-03-28
Technical Paper
2017-01-0016
Don Zaremba, Emily Linehan, Carlos Ramirez Ramos
Abstract For over thirty years, the silicon power MOSFET’s role has expanded from a few key components in electronic engine control to a key component in nearly every automotive electronics system. New and emerging automotive applications such as 48 V micro hybrids and autonomous vehicle operation require improved power MOSFET performance. This paper reviews mature and state of the art power MOSFET technologies, from planar to shield gate trench, with emphasis on applicability to automotive electronic systems. The automotive application environment presents unique challenges for electronic systems and associated components such as potential for direct short to high capacity battery, high voltage battery transients, high ambient temperature, electromagnetic interference (EMI) limitations, and large delta temperature power cycling. Moreover, high reliability performance of semiconductor components is mandatory; sub 1 ppm overall failure rate is now a fundamental requirement.
2017-03-28
Technical Paper
2017-01-1229
Ken Yamamoto, Nobuyasu Sadakata, Hidetoshi Okada, Yusuke Fujita
Abstract Electric oil pumps (EOP) for automobiles are used to lubricate and cool moving parts and supply oil pressure to components. Conventional EOPs consist of two separate units including a motor driver and a pump system comprised of a motor and a pump, which impedes layout flexibility for vehicles. To overcome this shortcoming, we have developed an ECU (electronic control unit)-integrated oil pump in which a driver, a motor and a pump are incorporated as a single unit. In the course of the project, we focused on improving vibration resistance and developing a compact design. The first challenge was to improve vibration resistance because of the driver located in close proximity to the powertrain. Since the driver is installed on the motor unit via electrically welded bus bars, the joints of the driver and the bus bar become susceptible to vibration.
2017-03-28
Technical Paper
2017-01-1224
Ryota Kitamoto, Shinnosuke Sato, Hiromichi Nakamura, Atsushi Amano
Abstract A new fuel cell voltage control unit (FCVCU) has been developed for a new fuel cell vehicle (FCV). In order to simultaneously reduce the electric powertrain size and increase the driving motor power, the FCVCU is needed to boost the voltage supplied from the fuel cell (FC) stack to the driving motor. The FCVCU circuit configuration has four single-phase chopper circuits arranged in parallel to form a 4-phase interleaved circuit. The intelligent power module (IPM) is a full SiC IPM, the first known use to date in a mass production vehicle, and efficiency has been enhanced by making use of the effects of the increased frequency to reduce both the size of the unit and the loss from passive parts. In addition, a coupled inductor was used to reduce the inductor size. As a result, the inductor volume per unit power was reduced approximately 30% compared to the previous VCU inductor.
2017-03-28
Technical Paper
2017-01-1622
Ronald Brombach, Anup Gadkari
Abstract The Body Control Module (BCM) is a very large integration site for vehicle features and functions (e.g., Locking, Alarms, interior lighting, exterior lighting, etc…). Every few years the demand to add more feature/functions and integrate more vehicle content increases. The expectation of the 2013 MY (model year) BCM, was to double the feature content and use it globally. The growth in 3 years of feature/function content was huge number that grew from 150 to over 300. This posed a major challenge to the software development team based on the methods and process that were deployed at the time. This paper cites the cultural and technology changes that were overcome when Ford Motor Company partnered with Tata Consultancy Services to help manage and define this new software engineering development methodology. The process of getting from a vague description of a new body module feature to a saleable product, presents several very challenging problems.
2017-03-28
Technical Paper
2017-01-0060
Heiko Doerr, Thomas End, Lena Kaland
Abstract The release of the ISO 26262 in November 2011 was a major milestone for the safeguarding of safety-related systems that include one or more electrical and / or electronic (E/E) systems and that are installed in series production passenger cars. Although no specific requirements exist for a model-based software development process, ISO 26262 compiles general requirements and recommendations that need to be applied to model-based development. The second edition of the ISO 26262 has been distributed for review with a final publication scheduled for 2018. This revised edition not only integrates the experiences of the last few years but also extends the overall scope of safety-related systems. In order to determine the necessary adaptions for already existing software development processes, a detailed analysis of this revision is necessary. In this work, we focus on an analysis and the impact on model-based software development of safety-related systems.
2017-03-28
Technical Paper
2017-01-1726
Sameer Shah, Aayoush Sharma, Raghav Angra, Nitin Singh, Khalique Ahmed
Abstract In an unavoidable event of a suspect being chased by police, there is high probability for the criminal to evade the police while driving his vehicle. At many instances, criminal escapes without leaving a trail behind and becomes untraceable. A new concept of Vigilance Assistance System Network (VASN) has been developed, which is spread across the city and helps in catching the escaping criminals. At every junction, the traffic-signals are installed with a microcontroller chip and these connected traffic signals form a network with distinct city areas demarcated on the map. The vehicle is installed with GPS and a RFID module on their ECU when it approaches any intersection or junction; they receive wireless signals from traffic-signals and transmit another registering signal to the traffic-light wirelessly through RFID.
2017-03-28
Technical Paper
2017-01-1728
Nitin Singh, Aayoush Sharma, Sameer Shah, Balakumar Gardampaali
Abstract In any unlikely event of accidents or vehicle breakdown, there is accumulation of traffic which results in road-blockage and causes in convenience to other vehicles. If this happens in remote areas, the accidents victims are left unattended and there is delay in providing emergency services. In case of traffic, it obstructs the entry of ambulance and rescue team which results in death of passengers. To prevent this mishap, a mechatronics based road block avoidance and accident alarming system is designed which is automated by the use of sensors. The road-block is detected with the help sensors located at regular intervals on road. This input is given to a Local Control Unit (LCU) which is integrated on every road. Several such LCUs are connected to a Main Control Unit (MCU) which is located at the nearest police station. A single MCU covers the area administered by that police station. Additional CCTV cameras are present to give graphical view of accident.
2017-03-28
Technical Paper
2017-01-1253
Somnath Sengupta, Chethan Gururaja, Sushant Hingane, Prajwal A K, Malay Maniar, Ondřej Mikuláš, Jaroslav Pekar
Abstract Increasingly strict CO2 and emissions norms are pushing the automotive industry towards increasing adoption of Hybrid Electric Vehicle (HEV) technology. HEVs are complex hardware systems which are often controlled by software that is complex to maintain, time-consuming to calibrate, and not always guaranteed to deliver optimal fuel economy. Hence, coordinated, systematic control of different subsystems of HEV is an attractive proposition. In this paper, Model Predictive Control (MPC) and Equivalent Consumption Minimization Strategy (ECMS) based supervisory controllers have been developed to coordinate the power split between the two prime movers of an HEV – internal combustion engine and electric motor. A dynamical physics based HEV model has been developed for simulation of the system behavior. A cost function has been formulated to improve fuel economy and battery life.
Viewing 1 to 30 of 4074