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AUTOSAR is finding its way into the automotive industry. European automotive manufacturing companies were the early adopters defining and promoting AUTOSAR standard. One of the main AUTOSAR goals is to improve containment of product and process complexity and risk. Increased scalability and flexibility to integrate and transfer functions is another important goal of AUTOSAR. Working with different suppliers and vendors and respect their confidentiality makes the process of application software development even more complex. Presented in this paper is a creative way of utilizing AUTOSAR to overcome the integration challenges in a multi-party object code based software integration. The run time environment (RTE) files for the application software are generated through a set of scripts to automate the process for consecutive releases. The low level device drivers are configured by one supplier and are being used by another supplier through a set of AUTOSAR client-server operation calls.

As North American truck manufactures have entered the global market it has become apparent that there are widely varying drive-by noise regulations required in various areas of the world. This paper will describe differences between various test procedures, track layouts, and required levels. Data will be presented showing vehicle results from various procedures, used to quantify differences in noise levels between a range of procedures. Countries were ranked from least restrictive to most restrictive based on test procedures and legal market requirements.

The TOP TIERTM Diesel fuel standard was first established in 2017 to promote better fuel quality in marketplace to address the needs of diesel engines. It provides an automotive recommended fuel specification to be used in tandem with regional diesel fuel specifications or regulations. This fuel standard was developed by TOP TIERTM Diesel Original Equipment Manufacturer (OEM) sponsors made up of representatives of diesel auto and engine manufacturers. This performance specification developed after two years of discussions with various stakeholders such as individual OEMs, members of Truck and Engine Manufacturers Association (EMA), fuel additive companies, as well as fuel producers and marketers. This paper reviews the major aspects of the development of the TOP TIERTM Diesel program including implementation and market adoption challenges.

The reduction of full acceleration truck pass-by noise conforming to Type ECE-51 regulation (Reference 1) was predicted in a hemi-anechoic chassis dynamometer chamber with microphone arrays and compared with actual test track results. This gave a close match to the track data, with both showing a 4 dB reduction in the A-weighted overall noise level after identical acoustic treatments were applied. Noise control materials were selected to perform as acoustic barriers and absorbers. These were optimized by analyzing the 1/3 octave spectra, determining dominant frequency bands, in critical source locations and engine speeds, and using combinations that dissipate or contain energy well within those bands. With the truck being stationary while tested, important source locations could be quickly identified both subjectively and with localization tools such as Beamforming.

Efficient thermal management of an engine cooling system and its surrounding components has been one of the most frequently visited topics in automotive industry. Especially, modern diesel truck engines have to deal with more heat rejection than ever to meet the rigorous emission and efficiency standards. As the maximum heat dissipated by a cooling system is limited to available inlet area to radiator, which is constrained by cab configuration, it is crucial to maximize the cooling airflow availability under given conditions. To be able to do so means to avoid additional development cost accompanying an altered cab configuration. At the same time, truck manufacturers have to deal with reduced product life cycles and develop reliable products economically.

The need of upfront modeling, simulation and design optimization has been ever increasing during full vehicle product development process. The overall vehicle system and component subsystem performances remain critical considerations for making final product release decision. With these challenges in mind, the work of this paper discusses the development of feasible CAE methods, tools, and processes for multi-objective design optimization. A full integrated tractor trailer truck vehicle is used as an example to demonstrate this capability. The proposed approach allows several design objectives to be simultaneously optimized, which might otherwise be extremely difficult to achieve with experimental methods.

As vehicle emissions regulations become increasingly stringent, there is a growing need to accurately model aftertreatment systems to aid in the development of ultra-low NOx vehicles. Common solutions to this problem include the development of complex chemical models or expansive neural networks. This paper aims to present the development process of a simpler Selective Catalytic Reduction (SCR) conversion efficiency Simulink model for the purposes of modeling tail pipe NOx emission levels based on various inputs, temperature shifts and SCR locations, arrangements and/or sizes in the system. The main objective is to utilize this model to predict tail pipe NOx emissions of the EPA Federal Test Procedures for heavy-duty vehicles. The model presented within is focused exclusively on heavy-duty application compression ignition engines and their corresponding aftertreatment setups.