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2017-06-08
Event
2017-06-06 ...
  • June 6-8, 2017 (2 Sessions) - Live Online
  • November 14-16, 2017 (2 Sessions) - Live Online
Training / Education Online Web Seminars
Turbocharging is already a key part of heavy duty diesel engine technology. However, the need to meet emissions regulations is rapidly driving the use of turbo diesel and turbo gasoline engines for passenger vehicles. Turbocharged diesel engines improve the fuel economy of baseline gasoline engine powered passenger vehicles by 30-50%. Turbocharging is critical for diesel engine performance and for emissions control through a well designed exhaust gas recirculation (EGR) system. In gasoline engines, turbocharging enables downsizing which improves fuel economy by 5-20%.
2017-05-22 ...
  • May 22-23, 2017 (8:30 a.m. - 4:30 p.m.) - Troy, Michigan
Training / Education Classroom Seminars
Developing vehicles that achieve optimum fuel economy and acceleration performance is critical to the success of any automotive company, yet many practicing engineers have not received formal training on the broad range of factors which influence vehicle performance. This seminar provides this fundamental understanding through the development of mathematical models that describe the relevant physics and through the hands-on application of automotive test equipment. Attendees will also be introduced to software used to predict vehicle performance.
2017-05-04 ...
  • May 4-5, 2017 (8:30 a.m. - 4:30 p.m.) - Troy, Michigan
  • October 17-18, 2017 (8:30 a.m. - 4:30 p.m.) - Shanghai, China
Training / Education Classroom Seminars
Improving vehicular fuel efficiency is of paramount importance to the global economy. Governmental regulations, climate change and associated health concerns, as well as the drive towards energy independence, have created a technical need to achieve greater fuel efficiency. While vehicle manufacturers are focusing efforts on improved combustion strategies, smaller displacement engines, weight reduction, low friction surfaces, etc., the research involved in developing fuel efficient engine oils has been less publicized.
2017-04-04
Event
Separate sub-sessions cover powertrain control, calibration, and system-level optimization processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands. Topics include the control, calibration, and diagnostics of the engine, powertrain, and subsystems related to energy management in conventional and hybrid operation, considering the simultaneous optimization of hardware design parameters and control software calibration parameters.
2017-04-04
Event
Separate sub-sessions cover powertrain control, calibration, and system-level optimization processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands. Topics include the control, calibration, and diagnostics of the engine, powertrain, and subsystems related to energy management in conventional and hybrid operation, considering the simultaneous optimization of hardware design parameters and control software calibration parameters.
2017-04-04
Event
Separate sub-sessions cover powertrain control, calibration, and system-level optimization processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands. Topics include the control, calibration, and diagnostics of the engine, powertrain, and subsystems related to energy management in conventional and hybrid operation, considering the simultaneous optimization of hardware design parameters and control software calibration parameters.
2017-04-04
Event
Separate sub-sessions cover powertrain control, calibration, and system-level optimization processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands. Topics include the control, calibration, and diagnostics of the engine, powertrain, and subsystems related to energy management in conventional and hybrid operation, considering the simultaneous optimization of hardware design parameters and control software calibration parameters.
2017-04-04
Event
Separate sub-sessions cover powertrain control, calibration, and system-level optimization processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands. Topics include the control, calibration, and diagnostics of the engine, powertrain, and subsystems related to energy management in conventional and hybrid operation, considering the simultaneous optimization of hardware design parameters and control software calibration parameters.
2017-04-04
Event
The focus of this session is the performance of integrated vehicle systems and the influence of driving styles and drive cycles on fuel consumption/economy. This will include how integration of vehicle components such as the powertrain, parasitics, accessories, mass elements, aerodynamics, tires, brakes, and hubs affect the overall vehicle energy and energy conversion efficiency.
2017-04-04
Event
The focus of this session is the performance of integrated vehicle systems and the influence of driving styles and drive cycles on fuel consumption/economy. This will include how integration of vehicle components such as the powertrain, parasitics, accessories, mass elements, aerodynamics, tires, brakes, and hubs affect the overall vehicle energy and energy conversion efficiency.
2017-03-28
Technical Paper
2017-01-0897
Gregory Pannone, John Thomas, Michael Reale, Brian Betz
The three foundational elements that determine mobile source energy use and tailpipe carbon dioxide (CO2) emissions are the tractive energy requirements of the vehicle, the on-cycle energy conversion efficiency of the propulsion system, and the energy source. Tractive energy requirements are determined by the vehicle's mass, aerodynamic drag, tire rolling resistance, and parasitic drag. The on-cycle energy conversion of the propulsion system is dictated by the tractive efficiency, non-tractive energy use, kinetic energy recovery, and parasitic losses. The energy source determines the mobile source CO2 emissions. Current tractive energy requirements and overall energy conversion efficiency are readily available from the decomposition of available test data. For future applications, plausible levels of mass reduction, aerodynamic drag improvements, and tire rolling resistance can be transposed into the tractive energy domain.
2017-03-28
Technical Paper
2017-01-0119
Keith John Holmes
A Century of Environmental Technologies for Light-Duty Vehicles This paper provides a long-term view of the deployment of environmental technologies for light-duty vehicles and their implications for other vehicle attributes. It considers technologies for controlling tropospheric air pollutants and for improving fuel economy and reducing corollary greenhouse gas emissions. Since the introduction of the first controls to improve ambient air quality in the early 1960s, these technologies have gone from simple gas recirculation hose and valve systems and adjustments in carburetor air-fuel ratios to systems that continuously control vehicle operations to optimize emissions reductions and fuel economy. Not only have these technologies produced major benefits for public health and the environment, but they have also fundamentally altered the characteristics of the vehicles we drive today. And future regulations will reform the vehicle fleet even further.
2017-03-28
Technical Paper
2017-01-0382
Oscar Hernandez Cervantes, Antonio Espiritu Santo Rincon
The development of an automatic control system for a towing dynamometer used for testing is described in this paper. The process involved the deployment of new power electronics, a TELMA retarder, instrumentation and a human machine interface (HMI). The control system was developed with a low cost open source platform for further function expansion, data acquisition and communication with other devices. This system is intended as a novel solution that will allow closed loop automated tests for engine calibration.
2017-03-28
Technical Paper
2017-01-0587
Cetin Gurel, Elif Ozmen, Metin Yilmaz, Didem Aydin, Kerem Koprubasi
Emissions and fuel economy optimization of internal combustion engines is becoming more challenging as the stringency of worldwide emission regulations are constantly increasing. Aggressive transient characteristics of new emission test cycles result in transient operation where the majority of soot is produced for turbocharged diesel engines. Therefore soot optimization has become a central component of the engine calibration development process. Steady state approach for air-fuel ratio limitation calibration development is insufficient to capture the dynamic behavior of soot formation and torque build-up during transient engine operation. This paper presents a novel methodology which uses transient maneuvers to optimize the air-fuel ratio limitation calibration, focusing on the trade-off between vehicle performance and engine-out soot emissions. The proposed methodology features a procedure for determining candidate limitation curves with smoothness criteria considerations.
2017-03-28
Technical Paper
2017-01-0586
Hayato Shirai, Hayato Nakada, Akio Matsunaga, Hiroyuki Tominaga
In real-world automotive control, there are a lot of constraints to be considered. In order to explicitly treat the constraints, we introduce a model-prediction-based algorithm called a reference governor (RG). The RG generates modified references so that predicted future variables in a closed-loop system satisfy their constraints. One merit of introducing the RG is that effort required in control development and calibration would be reduced. In the preceding research work by Nakada et al., only a single reference case was considered. However, it is difficult to extendedly apply it to more complicated systems with multiple references such as the air path control of a diesel engine, which suffers from interference between boosting and exhaust gas recirculation (EGR) systems. Moreover, in the control, multiple constraints need to be considered to ensure hardware limits and control performance.
2017-03-28
Technical Paper
2017-01-0585
Claudio Milanez, Fernando Hideyuki Fukunaga
For 2017 the Brazilian Diesel Light Duty Vehicle Onboard Diagnostic Phase II (OBDBr-D Phase II) will introduce the requirement for monitoring the removal or loss of operation of the DOC (Diesel Oxidation Catalyst) on top of the Phase I list of requirements. According to the new regulation it will be mandatory to monitor the catalyst presence in the same manner as the DPF (Diesel Particulate Filter). The most common DOC monitor strategy is through an exothermic reaction model. As DOC loses chemical conversion efficiency, exothermic reaction diminishes and catalyst loss of operation is inferred from the reduced temperature delta between the catalyst’s inlet and outlet. The major constrain of this method is that a robust temperature increase rate (therefore exothermic measurement) is only viable during a DPF regeneration cycle which depends on many boundary conditions.
2017-03-28
Technical Paper
2017-01-0584
Haksu Kim, Jaewook Shin, Myoungho Sunwoo
The demand for electric power consistently increases for internal combustion engine (ICE) vehicles, as the number of electric components grows in the vehicles. In effect, this causes an increase in fuel consumption when charging their batteries. Therefore, research on an energy management system that can limit such increases in fuel consumption is necessary. In conventional electric systems for vehicles, the alternator is controlled by a feedback system that uses battery State Of Charge (SOC). In order to reduce fuel consumption, the application of extra engine power is important. However, it is difficult to utilize extra engine power in the conventional system. In order to overcome such limitations in conventional systems, in this paper, we propose a predictive energy management strategy based on a rule-based alternator control mode switch. The strategy progresses in two stages.
2017-03-28
Technical Paper
2017-01-0588
Adithya P Reddy Ranga, Gopichandra Surnilla, Joseph Thomas, Ethan sanborn, Mark linenberg
Dual fuel injection systems, like PFI+DI (port fuel injection + direct injection system) are being increasingly used in gasoline engine applications to increase the engine performance, fuel efficiency and reduce emissions. At a given engine operating condition, the air/fuel error is a function of the fraction of fuel injected by each of the fuel systems. If the fraction of fuel from each of the fuel system is changed at a given operating condition, the fuel system error will change as well making it challenging to learn the fuel system errors. This paper aims at describing the adaptive fueling control algorithm to estimate the fuel error contribution from each individual fuel system. Considering the fuel injection system slope errors to be the significant cause for air-fuel errors, a model structure was developed to calculate the fuel system adaptive correction factor as a function of changing fraction of fueling between the fuel systems.
2017-03-28
Technical Paper
2017-01-0590
Chenaniah Langness, Charu Srivatsa, Christopher Depcik
Given the need by the automotive industry to improve fuel efficiency, many companies are moving towards lean burn and low temperature combustion regimes. Critical control of these methods requires an accurate Exhaust Gas Recirculation (EGR) system that can maintain its desired rate and temperature. In this area, the literature illustrates different methodologies to control and monitor this EGR system; however, it lacks a discussion of how the non-linear nature of wave dynamics must be taken into account. As a result, this effort presents an automated, closed-loop EGR system that uses a microprocessor to compute the slope change of the EGR rate and temperature as part of its feedback algorithm. This ensures that the time response of the system and any slack in hardware is taken into account. Findings illustrate that the system works as intended by replicating known combustion trends with EGR.
2017-03-28
Technical Paper
2017-01-0592
Robin Holmbom, Bohan Liang, Lars Eriksson
Turbocharging plays an important role in the downsizing of engines. Model based approaches for boost control is increasing the demand for controlling the wastegate flow more accurately. In todays’ cars the wastegate is usually controlled only with a duty cycle and with no position feedback. Because of this a constant duty cycle can give different wastegate positions depending on the engine operating point. Currently the most frequently used feedback in todays’ cars is the boost pressure which is the controller reference. This means that there is a large time constant from actuation command to the effect in boost pressure which can impair dynamic performance. In this paper the performance of an electrical controlled vacuum actuated wastegate also named as vacuum wastegate is compared to an electrical servo-controlled wastegate also named electric wastegate.
2017-03-28
Technical Paper
2017-01-0591
Andreas Thomasson, Xavier Llamas, Lars Eriksson
In modern turbocharged engines the power output is strongly connected to the turbocharger speed, through the flow characteristics of the turbocharger. Turbo speed is therefore an important state for the engine operation, but it is usually not measured or controlled directly. Still the control system must ensure that the turbo speed does not exceed its maximum allowed value to prevent damaging the turbocharger. Having access to a turbo speed signal, preferably by a cheap and reliable estimation instead of a sensor, could open up new possibilities for control. This paper proposes a turbo speed estimator that only utilizes the conditions around the compressor and a model for the compressor map. These conditions are measured or can be more easily estimated from available sensors than the conditions on the turbine side. Another approach would be to estimate the turbo speed from the torque balance on the turbo shaft, but this requires estimating the torque provided by the turbine.
2017-03-28
Technical Paper
2017-01-0594
Baitao Xiao, Erik Hellstrom, Yan Wang, Julia Buckland, Mario Santillo
Downsizing and turbocharging yield considerable improvements in part-load fuel economy for gasoline engines while maintaining or exceeding the power output of conventional naturally-aspirated engines. Turbocharger compressors are, however, susceptible to surge – the instability phenomena that impose limitations on the operation of turbocharged engines because of undesired noise, engine torque capability constraints, and hardware strain. Turbocharged engines are typically equipped with a binary compressor recirculation valve (CRV) whose primary function is to prevent compressor surge. Calibration of the associated control strategy requires in-vehicle tests and usually employs subjective criteria. This work aims to reduce the calibration effort for the strategy by developing a test procedure and data processing algorithms. This work develops an automated calibration for CRV control that will generate a baseline calibration that avoids surge events.
2017-03-28
Technical Paper
2017-01-0595
Jyh-Shin Chen
Engine idle speed control is a crucial function of engine control. Good engine idle speed control is essential for fuel economy, emission, and driver comfort. The idle speed is controlled by two actuators, the electronic throttle and the spark timing. The throttle has large authority but has a slow response because of manifold dynamics and intake-to-torque delay. The spark timing has small authority but has a fast response. Also the engine efficient will decrease if the spark timing is away from the optimal (MBT) angles. Therefore, we want the spark timing to deviate from the optimal angle as small as possible. Model Predictive Control (MPC) is used in this paper to regulate the engine idle speed using both the electronic throttle and the spark timing. Model predictive control uses a prediction model to describe the relationship between the system’s/plant’s inputs and outputs. It finds optimal control actions that minimize a given cost function.
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