Track Ⅰ - New Energy Heavy-duty Vehicle
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Min Ye Chang’an University, China |
Tianliang Lin Huaqiao University, China |
Track Information:
Driven by China's “dual-carbon” goals and the dual-circulation new development paradigm, the electrification of construction machinery has emerged as a critical breakthrough for industrial upgrading and sustainable development. This session explores the critical challenges in electrifying different types of equipment.
Below is an incomplete list of potential topics to be covered in the Track:
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Electrification of construction vehicles
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Hybrid engineering machinery
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Power matching of heavy-duty vehicles
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Power energy-saving technology
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Carbon emissions and carbon neutrality
Track Keywords:
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Hybrid power
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Heavy-duty vehicle
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New energy vehicle
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Construction machinery
DDL: 2025-12-8
Track Ⅱ - Structure Design and Control for Intelligent Chassis
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Co-Chairs: |
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Zhifei Zhang Chongqing University, China |
Hao Chen Chongqing University, China |
Shiying Li China Automotive Engineering Research Institute Co., Ltd, China |
Track Information:
The intelligent chassis, as a key component of intelligent vehicle systems, can significantly enhance the vehicle's maneuverability, comfort, and safety, while driving the automotive industry toward higher levels of intelligence. This forum focuses on addressing key issues in the design and control technologies of high-safety intelligent chassis.
Below is an incomplete list of potential topics to be covered in the Track:
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Intelligent Chassis Dynamics Modeling and Coordinated Control
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Active Control under Extreme Operating Conditions for Intelligent Chassis
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Functional Safety and Safety of the Intended Functionality for Intelligent Chassis
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Redundant Structure Design and Fault-Tolerant Control for Intelligent Chassis
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Operational Safety Performance Evaluation for Intelligent Chassis
Track Keywords:
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Intelligent Vehicles
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Intelligent Chassis
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Structural Design
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Dynamics Control
DDL: 2025-12-8
Track Ⅲ - Electric Vehicle Battery Management
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Co-Chair: |
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Zhechen Guo Xi'an Jiaotong University, China |
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Jun Xu Xi'an Jiaotong University, China |
Track Information: Driven by the national "Dual Carbon" goals and the new dual-circulation development paradigm, the transition toward vehicle electrification has become a critical breakthrough for achieving industrial upgrading and sustainable development. This session focuses on key issues in electrification technologies, playing a vital role in advancing battery safety, enhancing performance, and extending service life.
Below is an incomplete list of potential topics to be covered in the Track:
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Battery system modeling
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Battery state estimation
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Thermal management system design
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Cell balancing and reconfiguration techniques
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Battery safety management
Track Keywords:
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New energy vehicles
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Battery management
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State monitoring
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Thermal management
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Battery equalization
DDL: 2025-12-8
Track Ⅳ - Intelligent driving technology for mining vehicles
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Chuanwei Zhang Xi'an University of Science and Technology, China |
Track Information: Intelligent driving technology for mining vehicles is a core component of intelligent mine construction, significantly enhancing production efficiency and ensuring operational safety. Currently, substantial progress has been made in intelligent driving for open-pit mines, with initial commercial deployment already achieved. In contrast, development for underground mines has progressed somewhat slower due to harsh environments and limitations in equipment performance. Nevertheless, significant advances have been made in areas such as technical architecture, perception systems, mine vehicular networks, positioning and navigation, and path planning. This special session aims to foster the advancement of theories and technologies related to mine intelligent driving, enhance the capabilities of intelligent mine transport, and promote the development of intelligent mines.
Below is an incomplete list of potential topics to be covered in the Track:
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Multi-Sensor Fusion for Mining Vehicles
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Object Detection for Unmanned Mining Vehicles
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Localization, Navigation and Path Planning for Mining Vehicles
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Motion Control of Mining Vehicles
Track Keywords:
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Mining Vehicles
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Intelligent Driving
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Multi-Sensor Fusion
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Perception Technology
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Object Detection
DDL: 2025-11-25







