Konferenzen  >  Ingenieurwissenschaften  >  Fahrzeugbau. Strassennetz und Eisenbahn  >  China

Anhui University of science & technology

The International Conference on Vehicle Engineering and Intelligent Control (VEIC 2026) will be held from May 29 to 31, 2026, in Qingdao, Hefei, China. The conference aims to discuss and showcase cutting-edge research achievements and practical applications, with a specific focus on the intersection of vehicle engineering and intelligent control. Against the backdrop of global "dual carbon" goals and the ongoing intelligent transformation of transportation, the integrated innovation of these two fields is particularly crucial.With advancements in artificial intelligence, automatic control, and big data technologies, vehicle engineering has achieved significant progress in safety performance and energy efficiency. Concurrently, intelligent control technologies are driving the automotive industry toward a connected and intelligent transformation.This conference will bring together experts and scholars from academia and industry to explore solutions, share research findings, promote continuous innovation in the field, and contribute to the development of a sustainable intelligent vehicle ecosystem.

Email: icveic@163.com

The topics of interest for submission include, but are not limited to:Track1: Vehicle Engineering，Hydrogen Fuel Vehicle Technology，Solid-State Battery Applications，Powertrain Control，Intelligent Suspension Systems，Carbon Fiber Lightweighting，LiDAR Perception，Vehicle-Infrastructure Cooperative Communication，Power and Energy Storage Technology，High-Efficiency Propulsion Optimization，Powertrain Fault Diagnosis，Vehicle Thermal Management Cycles，Low-Carbon Powertrain Integration，Vehicle Dynamics Control，Track2: Intelligent Control，V2X Cooperative Control，Predictive Control Algorithms，Edge Computing Applications，Multi-Sensor Fusion，Adaptive Robust Control，Intelligent Fault Diagnosis，Machine Learning Optimization，Vehicular Network Security，Reinforcement Learning-Based Decision Making，Model Predictive Control，Digital Twin Technology，Vehicle Path Planning，Data-Driven Control，Chassis Cooperative Control，Intelligent Charging Scheduling，Intelligent Driving Technology，Internet of Vehicles Applications，Onboard Intelligent Decision-Making.