New Calibration Methods and Control Systems with Artificial Neural Networks

This paper describes the approaches, possibilities and benefits of using artificial Neural Networks for Engine Management Systems with the focus on new calibration methods and control strategies. Utilizing this approach in the calibration and function algorithm development process makes it possible to fulfill shorter development time frames for series production intended projects. Additionally, this technology helps to develop new control and diagnostic strategies for new Engine Management Systems to meet the upcoming stricter emission and OBD regulations.