Title: Control of camless electrohydraulic valvetrain in internal combustion engine under extended Kalman filter

Authors: Lei Zhang; Xiaoqin Yang

Addresses: College of Intelligent Manufacturing and Automotive Engineering, Chongqing Technology and Business Institute, Chongqing, 40000, China ' College of Intelligent Manufacturing and Automotive Engineering, Chongqing Open University, Chongqing, 40000, China

Abstract: In order to solve the problems of low success rate, long response time of control signals, and high failure rate in traditional valvetrain control methods, a control method of camless electrohydraulic valvetrain in internal combustion engine under extended Kalman filter is proposed. Build a mathematical model for the camless electrohydraulic valvetrain of internal combustion engine, combine the constructed mathematical model with extended Kalman filtering to estimate the state of the camless electrohydraulic valvetrain, and determine the relevant control signals. Input the control signals into the neural network PID controller to camless electrohydraulic valvetrain control of internal combustion engine. The experimental results show that the control success rate curve of the proposed method varies from 95.3% to 98.1%, the average response time of the control signal is 39.09 ms, and the failure rate varies from 0.8% to 3.1%, demonstrating high precision and efficiency.

Keywords: extended Kalman filter; internal combustion engine; camless electrohydraulic valvetrain; mathematical model; neural network PID controller.

DOI: 10.1504/IJISTA.2025.151544

International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.4, pp.409 - 428

Received: 03 Sep 2024
Accepted: 07 Nov 2024
Published online: 05 Feb 2026 *

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