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Simulations used to estimate carbon dioxide (CO2) emissions and fuel consumption of medium- and heavy-duty vehicles over prescribed drive cycles often employ engine fuel maps consisting of engine measurements at numerous steady-state operating conditions. However, simulating the engine in this way has limitations as engine controls become more complex, particularly when attempting to use steady-state measurements to represent transient operation. This paper explores an alternative approach to vehicle simulation that uses a “cycle average” engine map rather than a steady state engine fuel map. The map contains engine CO2 values measured on an engine dynamometer on cycles derived from vehicle drive cycles for a range of generic vehicles. A similar cycle average mapping approach is developed for a powertrain (engine and transmission) in order to show the specific CO2 improvements due to powertrain optimization that would not be recognized in other approaches.

Emission, fuel economy and productivity in non-road mobile machinery (NRMM) depend largely on drive cycles. Understanding drive cycles can provide the in-depth information and knowledge that help the system integrator better optimize the vehicle management system. Some non-road engine test cycles already exist nowadays. However, these cycles are mainly for engine emission regulation purpose, and not closely tied to real world applications. Therefore, from both industries and academia, it has been the common practice to instrument and retrofit a vehicle, assign a professional driver operate the retrofitted vehicle for real testing, and compare the results to the baseline vehicle under the similar operating conditions. Obviously this approach is time consuming and resource intensive. In this paper, we attempt to address this issue by introducing a method of constructing standard drive cycles from in-field operation data.

Several diesel passenger car boosting systems were studied to assess their impact on vehicle performance and fuel economy. A baseline 1.5L diesel engine model with a single VGT turbocharger was obtained through Gamma Technologies' fast running model library. This model was modified to explore multiple two stage boosting systems to represent the anticipated architecture of future engines. A series sequential turbocharged configuration and a series turbocharger-supercharger configuration were evaluated. The torque curves were increased from that of the original engine model to take advantage of the increased performance offered by two stage boosting. The peak cylinder pressure for all models was limited to 180 bar. Drive cycle analysis over the WLTP was performed using these engine architectures, while assessing the sensitivity to various system parameters. These parameters include: vehicle weight and aerodynamic drag, EGR target maps, level of downspeeding, and turbocharger inertia.

Commercial vehicles are moving in the direction of improving brake thermal efficiency while also meeting future diesel emission requirements. This study is focused on improving efficiency by replacing the variable geometry turbine (VGT) turbocharger with a high-efficiency fixed geometry turbocharger. Engine-out (EO) NOX emissions are maintained by providing the required amount of exhaust gas recirculation (EGR) using a 48 V motor driven EGR pump downstream of the EGR cooler. This engine is also equipped with cylinder deactivation (CDA) hardware such that the engine can be optimized at low load operation using the combination of the high-efficiency turbocharger, EGR pump and CDA. The exhaust aftertreatment system has been shown to meet 2027 emissions using the baseline engine hardware as it includes a close coupled light-off SCR followed by a downstream SCR system.

Commercial vehicles require continual improvements in order to meet fuel emission standards, improve diesel aftertreatment system performance and optimize vehicle fuel economy. Aftertreatment systems require significant space claim which makes vehicle packaging a challenge. Today’s diesel engines require valvetrain lash adjustment settings at distinct intervals to ensure proper valvetrain performance. This requires removing the engine rocker cover to access the valvetrain rocker arms for setting lash. Setting lash for compact vehicle applications sometimes requires removing the aftertreatment system to provide access to the rocker cover prior to setting lash. Then, the rocker cover is reinstalled followed by the aftertreatment system making the lash setting process time consuming and complex.

Computer simulation is commonly used to determine the impact of hybrid vehicle technology on fuel economy and performance. One input required for this approach is a drive cycle that represents the desired vehicle speed at each time step in the simulation. Due to computational hardware limitations, simulated drive cycle durations are required to be shorter than those actually driven by real vehicles. Hence there is a need to develop a representative drive cycle of smaller time duration. For example, it is desirable to develop a one hour drive cycle that can give the same fuel economy and performance results as a drive cycle spanning many weeks. Specifically for the design of hybrid systems, it is desired that certain characteristics of micro-trips within the full length cycle are well replicated in the representative cycle. Taking these requirements into account, a new methodology was developed and tested. This paper explains this methodology and the final results obtained.

Cylinder deactivation (CDA) is an effective method to adjust the engine displacement for maximum output and improve fuel economy by adjusting the number of active cylinders in combustion engines. A Switching Roller Finger Follower (SRFF) is an economic solution for CDA that minimizes changes and preserves the overall width, height, or length of Dual Overhead Cam (DOHC) engines. The CDA SRFF provides the flexibility of either transferring or suppressing the camshaft movement to the valves influencing the engine performance and fuel economy by reducing the pumping losses. This paper addresses the performance and durability of the CDA SRFF system to meet the reliability for gasoline passenger car engines. Extensive tests were conducted to demonstrate the dynamic stability at high engine speeds and the system capacity of switching between high and low engine displacement within one camshaft revolution.

New regulations, rising fuel costs and environmental concerns are driving significant improvement in heavy duty truck aerodynamics and rolling resistance that fundamentally change the power needs of heavy duty trucks. Furthermore, exhaust energy recovery technology is evolving and driving a change in the power management strategies. Together with advances in hybrid technology, these changes open the potential for a cost-effective line haul hybrid line of trucks. This paper will present a simulation study that was performed in order to evaluate the potential fuel economy benefits of a heavy duty powertrain for commercial vehicles. The architecture includes hybrid electric components paired with a waste heat recovery system. The electric energy can be used to reduce engine load during peak power requests. The sources for the electric energy are both braking energy regeneration as well as conversion of waste heat to electricity via a high speed generator.

The objective of this paper is to provide a robust design solution for a Jet pump which is used for fuel removal from an Active Drain Liquid Trap (ADLT). This jet pump can work for both Gasoline and Diesel based automobiles. The major focus area of this paper, is improvement in the robustness of Jet pump performance parameters, such as motive flow and induced flow. A design study for such a two fuel application was first initiated using Taguchi's robust design approach. In order to reduce the inventory complexity and cost, a common design possibility was then addressed. Two approaches for robust design have been discussed, namely the Taguchi Methodology (Orthogonal Cross Array based design) and the Dual RSM (Response Surface Methodology) Technique. Results show that the Dual RSM provides improved performance with reduced variation, as compared to Taguchi's approach.