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A lumped-parameter thermal network model, based on the analogy between heat transfer and electric current flow, is presented for hybrid powertrain cooling systems. In order to optimally select the powertrain components that are commercially viable and meet performance, emission, fuel economy and life targets, it is necessary to consider the influence of cooling architecture. Especially in electric and hybrid vehicles, temperature monitoring is important to increase power and torque utilization while preventing thermal damages. Detailed thermal models such as FEA and CFD are considered for component level assessments as they can locate thermal hotspots and identify possible design changes needed. However, for the system level analysis, the detailed numerical models are not suitable due to the requirement of high computation effort.

Pure biodiesel fuel (B100) is typically made of fatty acid methyl esters (FAME). FAME has different physical properties as compared to mineral diesel such as higher surface tension, lower volatility and higher specific gravity. These differences lead to a larger droplet size and thus more wall impingement of the fuel during injection in the combustion chamber. This results in higher levels of fuel dilution as the oil is scraped down into the crankcase by the scraper ring. The lower volatility also makes biodiesel more difficult to evaporate once it enters the crankcase. For these reasons, levels of fuel dilution in biodiesel fueled engines are likely to be higher compared to mineral diesel fueled engines. When in-cylinder dosing is applied to raise the exhaust temperature required for the regeneration of Diesel Particulate Filters (DPF's), biodiesel dilution in the engine oil may be elevated to high levels.

This paper describes a ‘toolbox’ for modeling liquid cooling system networks within vehicle thermal management systems. Components which can be represented include pumps, coolant lines, control valves, heat sources and heat sinks, liquid-to-air and liquid-to-refrigerant heat exchangers, and expansion tanks. Network definition is accomplished through a graphical user interface, allowing system architecture to be easily modified. The elements of the toolbox are physically based, so that the models can be applied before hardware is procured. The component library was coded directly into MATLAB / SIMULINK and is intended for control system development, hardware-in-the-loop (HIL) simulation, and as a system emulator for on-board diagnostics and controls purposes. For HIL simulation and on-board diagnostics and controls, it is imperative that the model run in real-time.

As the world market develops for biodiesel fuels, it is likely that a wider variety of biodiesels will become available, both locally and globally, and require engines to operate on a wider variety of fuels than experienced today. At the same time, tighter emissions regulations and a drive for improved fuel economy have focused interest on advanced combustion modes such as HCCI or PCCI, which are known to be more sensitive to fuel properties. This research covers two series of biodiesel fuels. In the first, B20 blends of natural methyl esters derived from palm, coconut, rape, soy, and mustard were evaluated at light load in an HCCI research engine to determine combustion and performance characteristics. These fuels showed performance differences between the biodiesels and the base #2 ULSD fuel, but did not allow separation of chemical effects due to the small number of fuels and correlation of various properties.

Testing to investigate biodiesel's impact on the performance of a zeolite-based selective catalytic reduction (SCR) system was conducted. The tests employed a 2004 compliant Cummins ISB with common rail fuel injection, EGR, and variable geometry turbo. This 5.9L, 300HP engine was retrofitted with a Johnson-Matthey DPF + SCR (SCRT™) system. Testing was conducted over eight steady-state engine operating modes which provided a wide range of exhaust temperature and exhaust chemistry conditions. Fuels tested were a 2007 certification quality ultra-low sulfur diesel (ULSD), as well as a soy derived biodiesel in a B20 blend. B20 produced slightly lower catalyst temperatures and higher NO2:NOx ratios relative to ULSD, but no measureable difference in the overall NOx conversion over the SCR system. The dominant variable influencing SCR performance is the catalyst space velocity, which is unchanged with the use of B20.

Fuel additives are used in diesel fuel for various reasons. For example, poor lubricity of some low sulfur and ultra low sulfur fuels necessitate the addition of lubricity additives to maintain acceptable protection of fuel system components. However, with today's high pressure fuel systems and lubricant oil recycling practices, some lubricant mixing with the fuel is unavoidable. As a result, an increase in fuel filter plugging was reported when lubricant components are present in the fuel. This paper shows filter plugging resulted from the interaction of basic lubricant additives with acidic fuel additives. Attempts to reduce the plugging by supplemental fuel additives were technically successful, but not economically feasible. The linkage between filter plugging and additive interactions is demonstrated in this paper. Part II of this series will explore the mechanisms of the additive interactions, and other causes for filter plugging.

Nine identical 40-ft. transit buses were operated on B20 and diesel for a period of two years - five of the buses operated exclusively on B20 (20% biodiesel blend) and the other four on petroleum diesel. The buses were model year 2000 Orion V equipped with Cummins ISM engines, and all operated on the same bus route. Each bus accumulated about 100,000 miles over the course of the study. B20 buses were compared to the petroleum diesel buses in terms of fuel economy, vehicle maintenance cost, road calls, and emissions. There was no difference between the on-road average fuel economy of the two groups (4.41 mpg) based on the in-use data, however laboratory testing revealed a nearly 2% reduction in fuel economy for the B20 vehicles. Engine and fuel system related maintenance costs were nearly identical for the two groups until the final month of the study.

Oxidative degradation of biodiesel under accelerated conditions has been examined by Fourier transform infrared (FTIR), nuclear magnetic resonance (NMR), and gravimetric measurement of deposit formation. The formation of gums and deposits caused by oxidation in storage or in an engine fuel system is a significant issue because of the potential for fuel pump and injector fouling. The results of this study indicate several important pathways for degradation and two pathways leading to formation of oligomers and, ultimately, deposits. Peroxides formed in the initial stage of oxidation can decompose to form aldehydes, ketones, and acids. These can react further in aldol condensation to form oligomers. Additionally, peroxides can react with fatty acid chains to form dimers and higher oligomers. Deposits form when the polarity and molecular weight of these oligomers is high enough.

A dynamic system model for simulating the transient performance of a NOx aftertreatment system using Selective Catalytic Reduction with urea as a reductant (urea-SCR) was developed, calibrated for a heavy-duty engine application, and used to develop a closed loop self-tuning control strategy. The closed loop controller was able to reduce the FTP cycle NOx emissions from a Cummins heavy-duty engine by 84% while maintaining the mean ammonia slip below 7 ppm and the peak ammonia slip below 55 ppm. The peak ammonia slip occurred during the LA Freeway phase of the FTP cycle. Components of the urea-SCR aftertreatment system model include a urea dosing system, an exhaust pipe and a fresh vanadia-based SCR catalyst. The urea dosing system model incorporates the evaporation, thermolysis and hydrolysis stages in the conversion of urea to ammonia in the exhaust pipe and on the catalyst.

This paper outlines the process by which a current production commercial diesel engine was modified for high performance military use. Salient among the needs for military use are a compact package and high power output. The compact engine package was addressed by the selection of a base engine of relatively small displacement and slim inline configuration. The air system, fuel pump, and other ancillary components were re-packaged close to the engine. A high engine power output was achieved by turbocharging at the pressure ratios achievable by current production turbochargers, increased engine speed, and upgrades in the design of engine components. Close attention was paid to thermal and mechanical loading of all components of the engine. Most components in the engine were changed to accommodate these loadings and packaging needs.

This paper reports on an analytical study of the heat transfer and fluid flow in an electric vehicle e-Motor cooled by twenty five sprays/jets of oil. A three-dimensional, quasi-steady state, multi-phase, computational fluid dynamics (CFD) and conjugate heat transfer (CHT) model was created using a commercial CFD software. The transport equations of mass, momentum, energy and volume fraction were solved together with models for turbulence and wall treatment. An explicit formulation of the volume of fluid (VOF) technique was used to simulate the sprays, a time-implicit formulation was used for the flow-field and three dimensional conduction heat transfer with non-isotropic thermal conductivities was used to simulate the heat transfer in the windings.

Tests of ultra-low sulfur diesel blended with soy-biodiesel at 5% and 20% were conducted using a 2002 model year Cummins ISB engine (with exhaust gas recirculation) that had been retrofitted with a passively regenerated catalyzed diesel particulate filter (DPF). Results show that on average, the DPF balance point temperature (BPT) is 45°C and 112°C lower for B20 blends and neat biodiesel, respectively, than for 2007 certification diesel fuel. Biodiesel causes a measurable increase in regeneration rate at a fixed steady-state condition, even at the 5% blending level. The data show no significant differences in NOx emissions for these fuels at the steady-state regeneration conditions, suggesting that differences in soot reactivity are responsible for the observed differences in BPT and regeneration rate.