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In order to improve the vehicle’s fuel economy while in cruise, the Model Predictive Control (MPC) technology has been adopted utilizing the road grade preview information and allowance of the vehicle speed variation. In this paper, a focus is on robustness study of delivered fuel economy benefit of Adaptive Nonlinear Model Predictive Controller (ANLMPC) reported earlier in the literature to several noise factors, e.g. vehicle weight, fuel type etc. Further, the vehicle position is obtained via GPS with finite precision and source of road grade preview might be inaccurate. The effect of inaccurate information of the road grade preview on the fuel economy benefits is studied and a remedy to it is established.

Conventional cruise control systems in automotive applications are usually designed to maintain the constant speed of the vehicle based on the desired set-point. It has been shown that fuel economy while in cruise control can be improved using advanced control methods namely adopting the Model Predictive Control (MPC) technology utilizing the road grade preview information and allowance of the vehicle speed variation. This paper is focused on the extension of the Adaptive Nonlinear Model Predictive Controller (ANLMPC) reported earlier by application to the trailer tow use-case. As the connected trailer changes the aerodynamic drag and the overall vehicle mass, it may lead to the undesired downshifts for the conventional cruise controller introducing the fuel economy losses. In this work, the ANLMPC concept is extended to avoid downshifts by translating the downshift conditions to the constraints of the underlying optimization problem to be solved.

Automotive cruise control systems are used to automatically maintain the speed of a vehicle at a desired speed set-point. It has been shown that fuel economy while in cruise control can be improved using advanced control methods. The objective of this paper is to validate an Adaptive Nonlinear Model Predictive Controller (ANLMPC) implemented in a vehicle equiped with standard production Powertrain Control Module (PCM). Application and analysis of Model Predictive Control utilizing road grade preview information has been reported by many authors, namely for commercial vehicles. The authors reported simulations and application of linear and nonlinear MPC based on models with fixed parameters, which may lead to inaccurate results in the real world driving conditions. The significant noise factors are namely vehicle mass, actual weather conditions, fuel type, etc.

Increasing electronics content, growing computing power, and proliferation of opportunities for information connectivity (through improved sensors, GPS, road and traffic information systems, wireless internet access, vehicle-to-vehicle communication, etc.) are technology trends which can significantly transform and impact future automotive vehicle's control and diagnostic strategies. One aspect of the increasing vehicle connectivity is access to ambient and road condition information, such as ambient temperature, ambient pressure, humidity, % cloudiness, visibility, cloud ceiling, precipitation, rain droplet size, wind speed, and wind direction based on wireless internet access. The paper discusses the potential opportunities made available through wireless communication between the vehicle and the internet.

Ford's Hydrogen Hybrid Research Vehicle (H2RV) is an industry first parallel hybrid vehicle utilizing a hydrogen internal combustion engine. The goal of this drivable concept vehicle is to marry Ford's extensive hybrid powertrain experience with its hydrogen internal combustion engine technology to produce a low emission, fuel-efficient vehicle. This vehicle is seen as a possible bridge from the petroleum fueled vehicles of today to the fuel cell vehicles envisioned for tomorrow. A multi-layered hydrogen management strategy was developed for the H2RV. All aspects of the vehicle including the design of the fuel and electrical systems, placement of high-voltage subsystems, and testing, service, and storage procedures were examined to ensure the safe operation of the vehicle. The results of these reviews led to the design of the hydrogen sensing and mitigation system for the H2RV vehicle.

In late 1997 Ford Motor Company Scientific Research Laboratory started the project to design and develop a practical, low-cost hydrogen fueled internal combustion engine (H2ICE) vehicle. This type of vehicle could serve as an interim step to drive the development of the hydrogen infrastructure before the widespread use of fuel cell vehicles. This paper will discuss the design and development approach and results for a dedicated engine optimized for operation on hydrogen, the unique and custom instrumentation necessary when working with hydrogen, the engine dynamometer development program, the unique triple-redundant vehicle safety system, and the final implementation into the Ford P2000 experimental vehicle.

The first known, North American OEM vehicle powered exclusively by a hydrogen fueled internal combustion engine (H2ICE) has been developed and tested. This production viable, low cost, low emission vehicle is viewed as a short term driver for the hydrogen fueling infrastructure ultimately required for fuel cell vehicles. This vehicle features a highly optimized hydrogen IC engine, a triple redundant hydrogen safety system, and a dedicated gaseous hydrogen fuel system. The vehicle and its test results are presented in this paper.