Chaofeng Pan

ORCID: 0000-0002-1700-5655
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure
  • Vehicle emissions and performance
  • Traffic control and management
  • Transportation Planning and Optimization
  • Advancements in Battery Materials
  • Autonomous Vehicle Technology and Safety
  • Vehicle Dynamics and Control Systems
  • Traffic Prediction and Management Techniques
  • Advanced Numerical Analysis Techniques
  • Composite Structure Analysis and Optimization
  • Fault Detection and Control Systems
  • Simulation and Modeling Applications
  • Transportation Safety and Impact Analysis
  • Advanced battery technologies research
  • Automotive and Human Injury Biomechanics
  • Fuel Cells and Related Materials
  • Frequency Control in Power Systems
  • Railway Engineering and Dynamics
  • Advanced Battery Materials and Technologies
  • Electric Power Systems and Control
  • Robotic Path Planning Algorithms
  • Real-time simulation and control systems
  • Hybrid Renewable Energy Systems

Jiangsu University
2015-2025

China Automotive Engineering Research Institute
2012-2023

China XD Group (China)
2009

The development of energy management strategy (EMS), which considers how power is distributed between the battery and ultracapacitor, can reduce electric vehicle’s consumption slow down degradation. Therefore, purpose this paper to develop an EMS for hybrid storage vehicles based on Pontryagin’s minimums principle (PMP) considering To verify EMS, vehicle model first established. In meantime, cycle life trials are finished in order a degradation model. Following that, rule-based control...

10.3390/su14031214 article EN Sustainability 2022-01-21

In order to enhance the energy-saving potential of electric vehicles, a lane change decision method based on vehicle-to-everything (V2X) is designed further improve economics intelligent connected vehicles. Firstly, traversal test vehicles conducted at different speeds and accelerations construct an energy consumption cloud model that reflects mapping relationship between vehicle speed, acceleration power. Next, traffic flow information from V2X used train long short-term memory neural...

10.1016/j.geits.2023.100127 article EN cc-by-nc-nd Green Energy and Intelligent Transportation 2023-09-05

With the impact of serious environmental pollution in our cities combined with ongoing depletion oil resources, electric vehicles are becoming highly favored as means transport. Not only for advantage low noise, but their high energy efficiency and zero pollution. The Power battery is used source vehicles. However, it does currently still have a few shortcomings, noticeably density, costs short cycle life results limited mileage compared conventional passenger There great difference vehicle...

10.1063/1.4993945 article EN cc-by AIP Advances 2017-10-01

This study focuses on the speed planning problem for connected electric vehicles in a multiple signalized intersection scenario. A dynamic programming (DP) algorithm can generate more energy-efficient trajectory vehicle. However, it is computationally heavy and time-consuming. Therefore, this paper proposes double-layer scheme to achieve optimization of energy used by (EVs) along routes with intersections. In first layer, reduce computational dimension problems, we design convex space method...

10.1177/03611981241306756 article EN Transportation Research Record Journal of the Transportation Research Board 2025-02-27

Cooperative driving systems can coordinate individual vehicles on the road in a platoon, holding significant promise for enhancing traffic efficiency and lowering energy consumption of vehicle movements. For an extended period, will consist mix traditional gasoline electric vehicles. To explore economic strategies diverse road, this paper introduces collaborative eco-driving system that takes into account traits Unlike prior research, puts forward lane change decision-making approach...

10.3390/electronics14081646 article EN Electronics 2025-04-18

In this paper, the efficiency characteristics of battery, super capacitor (SC), direct current (DC)-DC converter and electric motor in a hybrid power system an vehicle (EV) are analyzed. addition, optimal model is proposed based on component’s models. A rule-based strategy then projection partition composite efficiency, so it has strong adaptive adjustment ability. Additionally. simulation results under New European Driving Cycle (NEDC) condition show that higher than single system....

10.3390/en12040588 article EN cc-by Energies 2019-02-13

Abstract In order to keep the power battery work within an ideal temperature range for electric vehicle, liquid cooling plate with parallel multi-channels is designed, and a three-dimensional thermal model of module established. Subsequently, effects thickness pipe thickness, channel number coolant mass flow rate on performance modules are analyzed. The results show that four parameters have important role in behavior liquid-cooled system. It not good improve system by changing only certain...

10.1115/1.4045197 article EN Journal of Electrochemical Energy Conversion and Storage 2019-10-15
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