New publication in Applied Energy on the HCCI process


An article on the HCCI process modeling has been published in the renowned journal "Applied Energy". The paper uses a dynamic measurement methodology to generate data for training artificial neural networks. It is shown that the use of both ion current signal as well as in-cylinder pressure provides for the HCCI modeling a significant improvement in prediction accuracy compared to the pressure signal alone. With the following link the article can be read and downloaded for free until 01 February 2021.


Title: "Detection of transient low-temperature combustion characteristics by ion current - the missing link for homogeneous charge compression ignition control?"

Authors: Jinqiu Wang, Julian Bedei, Jun Deng, Jakob Andert, Denghao Zhu, Liguang Li