Zhongliang Han

Fault detection enhanced by LLM-based knowledge graph

Jingwen Liu, Ziyu Bian, Jie Yang, Zhongliang Han et autres

Fault diagnosis in drive-by-wire chassis systems for intelligent electric vehicles faces significant challenges stemming from their multi-domain coupled nature. Traditional methods struggle with complex system-level faults, and Knowledge Graphs (KGs) exhibit limitations in dynamic updates and natural language interaction. To address these …

cn (code pays fourni par la source)

Adaptive Longitudinal–Lateral Coordinated Control of Distributed Drive Vehicles Under Unknown Road Conditions

Jiansen Yang, Zhongliang Han, Zhiguo Zhang, X. Wang et autres

Distributed drive vehicles provide enhanced actuation flexibility, making longitudinal–lateral coordinated stability control essential for improving vehicle handling and safety under complex driving conditions. Nevertheless, the existing coordinated control strategies commonly employ stability reference models with fixed tire–road friction coefficients, which restrict their …

cn, hk (code pays fourni par la source)

Disturbance Classification and Hybrid Simulation Analysis for Extreme Events

Yurou Jiang, Kai Jiang, Zhongliang Han, Nian Liu et autres

The rapid growth of renewable energy penetration presents substantial challenges in maintaining supply and demand balance in China’s power spot market, which has emerged as a key mechanism to determine system operation. To reveal this issue, this study reviews representative extreme-event cases …

us, cn (code pays fourni par la source)

Energy-efficient control of electric vehicles based on linear quadratic regulator and phase plane analysis

Zhongliang Han, Nan Xu, Hong Chen, Yanjun Huang et autres

cn, ca (code pays fourni par la source)