Haifeng Liu

Title: Haifeng Liu: Innovator in Engine Emission Prediction and Control Methods

Introduction

Haifeng Liu is a prominent inventor based in Tianjin, China, known for his significant contributions to engine technology. With a total of five patents to his name, Liu has developed innovative methods that enhance engine performance and reduce emissions. His work is particularly relevant in today's context of environmental sustainability and energy efficiency.

Latest Patents

Liu's latest patents include a real-time prediction method for engine emissions. This method involves acquiring multiple known historical test data samples for engine emissions, dividing the samples into a training set and a test set to train multiple neural networks (NNs), and calculating mean square errors (MSEs) output by each of the NNs with different numbers of hidden layer nodes. This process helps determine the optimal topological structure of the NNs. Additionally, he has established a real-time engine emission prediction system using an Adaboost algorithm. Another notable patent is the control method of a variable stroke engine for reforming high-octane fuel under the flexible cylinder engine (FCE) mode. This invention allows the engine control unit (ECU) to manage fuel injection and valve states, enabling the flexible cylinder to switch between two-stroke and four-stroke modes based on actual engine operating conditions.

Career Highlights

Haifeng Liu has worked at prestigious institutions such as Tianjin University and Tianjin University of Technology. His academic and research background has provided him with a solid foundation to innovate in the field of engine technology. His patents reflect his commitment to advancing engine efficiency and reducing harmful emissions.

Collaborations

Liu has collaborated with notable colleagues, including Mingfa Yao and Hu Wang. These partnerships have likely contributed to the development and refinement of his innovative technologies.

Conclusion

Haifeng Liu's work in engine emission prediction and control methods showcases his dedication to innovation in the automotive industry. His patents not only advance technology but also contribute to a more sustainable future.