Wenguang Luo

A lightweight and high-precision defect detection model with strong generalization for lithium battery electrodes

Keying Liu, Dan Huang, Zixu Li, Wenguang Luo

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Event-Triggered and Adaptive ADMM-Based Distributed Model Predictive Control for Vehicle Platoon

Hongtao Ye, Wenguang Luo, Xiaohua Zhou, Jiayan Wen

This paper proposes a distributed model predictive control (DMPC) framework integrating an event-triggered mechanism and an adaptive alternating direction method of multipliers (ADMM) to address the challenges of constrained computational resources and stringent real-time requirements in distributed vehicle platoon control systems. Firstly, …

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Real-time and optimal energy management strategy via explicit model predictive control for small fuel cell hybrid vehicles

Wenguang Luo, Ke Zou, Yongjiang Ma, Hongli Lan

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Energy management strategy via dual fuzzy control based on Pareto multi-objective optimization for fuel cell hybrid electric vehicles with three power sources

Wenguang Luo, Jingxiang Lei, Hongli Lan

Energy management is the key technology for power distribution and driveability of fuel cell hybrid electric vehicles. To maximize the economic potential and prolong the power source lifetime of hydrogen fuel cell/battery/supercapacitor-based hybrid electric vehicles, this paper proposes an energy management strategy …

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Light-YOLO: A lightweight and high-performance network for detecting small obstacles on roads at night

Dan Huang, Guangyin Zhang, Zixu Li, Keying Liu et autres

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MSD-MixFormer: high-precision detection network for positive and negative road obstacles in complex environments

Zixu Li, Dan Fei Huang, Keying Liu, Xinshuang Liu et autres

In complex road scenarios, issues such as low-detection accuracy of positive and negative obstacles on the road surface and weak generalization ability of detection models are prevalent. We propose a high-precision detection network for positive and negative road obstacles, named multiscale diffusion …

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Fault diagnosis of high-speed rolling bearings based on multi-feature fusion fuzzy c-means

Wenguang Luo, Junning Li, Maokang Song, Jinpeng Wen

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Fast-Mpc with Pca-Kmeans Dimensionality Reduction for Real-Time Trajectory Tracking in Autonomous Vehicles

Hongtao Ye, Wenguang Luo, Jiayan Wen

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Research on the Integrated Converter and Its Control for Fuel Cell Hybrid Electric Vehicles with Three Power Sources

Wenguang Luo

Separate DC-DC converters for each energy source are typically configured in fuel-cell hybrid vehicles. This results in a complex control structure of the powertrain system, low energy density of the converter, and high cost due to the large number of components. Conducting …

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A Traffic Sign Recognition System Based on Lightweight Network Learning

Guangyin Zhang, Zixu Li, Dan Fei Huang, Wenguang Luo et autres

In order to improve the comprehensive performance of the traffic sign system, this paper proposes a lightweight and efficient network model for the existing traffic sign recognition system, which is characterized by the complex structure of the convolutional neural network, the number …

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Collision Avoidance Path Planning and Tracking Control for Autonomous Vehicles Based on Model Predictive Control

Dong Ding, Hongtao Ye, Wenguang Luo, Jiayan Wen et autres

In response to the fact that autonomous vehicles cannot avoid obstacles by emergency braking alone, this paper proposes an active collision avoidance method for autonomous vehicles based on model predictive control (MPC). The method includes trajectory tracking, adaptive cruise control (ACC), and …

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MLD Modeling and MPC-Based Energy Management Strategy for Hydrogen Fuel Cell/Supercapacitor Hybrid Electric Vehicles

Wenguang Luo, Guangyin Zhang, Ke Zou, Cuixia Lin

Energy management strategies for hydrogen fuel cell hybrid electric vehicles (FCHEVs) are a key factor in achieving real-time vehicle energy optimization control, vehicle driving economy, and fuel cell durability. In this paper, for an FCHEV equipped with a fuel cell and supercapacitor, …

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