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Historically, the opposed-piston, two-stroke (OP2S) diesel engine set combined records for fuel efficiency and power density that have yet to be met by any other engine type. However, with modern emissions standards, wide-spread development of this engine for on-highway use stopped. At Achates Power, state-of-the-art analytical tools and engineering methods have produced an OP2S engine that, when compared to a leading medium-duty engine, has demonstrated a 21% fuel efficiency gain and engine-out emissions levels meeting U.S. EPA10 with conventional after-treatment. Among the presentation topics covered are thermodynamic efficiency, demonstrated engine results, cost and weight advantages, and overcoming two-stroke engine challenges. Presenter David Johnson, Achates Power Inc.

In this presentation, we will explain how the traditional Miller Cycle - which has its limitations in the traditional four-stroke, Otto Cycle engine provides new opportunities for greater fuel efficiency gains and engine downsizing when incorporated in a split-cycle combustion process. Results will also be shared from studies showing how these implementations can provide both significant drops in fuel consumption and increases in power when incorporated into some of today's most economic vehicles. Presenter Stephen Scuderi, Scuderi Group LLC

Ford's thermal management with batteries. Presenter Robert Taenaka, Ford Motor Co.

Zero-dimensional, one-dimensional, and quasi-dimensional models for simulation of SI and CI engines with respect to: engine breathing and boosting; SI combustion and emissions; CI combustion and emissions; fundamentals of engine thermodynamics; thermal management; mechanical and lubrication systems; system level models for controls; system level models for vehicle fuel economy and emissions predictions. Presenter Fabio Bozza, Universita di Napoli

Advanced vehicular thermal management system can improve engine performance, minimize fuel consumption, and reduce emissions by harmoniously operating computer-controlled servomotor components. In this paper, a neural network-based optimal control strategy is proposed to regulate the engine temperature through the advanced cooling system. Presenter Asma Al Tamimi, Hashemite University