A5100385122- Electric Vehicles and Infrastructure
- Power System Reliability and Maintenance
- Transportation and Mobility Innovations
- Electric and Hybrid Vehicle Technologies
- Rock Mechanics and Modeling
- Optimal Power Flow Distribution
- Smart Grid Security and Resilience
- Geomechanics and Mining Engineering
- Advanced Battery Technologies Research
- Tunneling and Rock Mechanics
- Geoscience and Mining Technology
- Probabilistic and Robust Engineering Design
- Power System Optimization and Stability
- Silicon Carbide Semiconductor Technologies
- Vehicle emissions and performance
- HVDC Systems and Fault Protection
- Geotechnical Engineering and Analysis
- Evaluation and Optimization Models
- Integrated Energy Systems Optimization
Shandong University
2024
University of Michigan–Dearborn
2016-2023
China University of Geosciences
2022
Hebei University of Engineering
2010
This paper proposes a framework and its mathematical model for optimal routing charging of an electric vehicle fleet high-efficiency dynamic transit systems, while taking into account energy efficiency price. Based on extended pickup delivery problem, optimization is formulated from the service providers’ perspective applied to (EV) with economically efficient but small batteries in very urbanized areas. It aims determine best route origin final destination each EV satisfy welfare all...
A complex geological environment with faults can be encountered in the process of coal mining. Fault activation cause instantaneous structure slipping, releasing a significant amount elastic strain energy during underground This would trigger strong rockburst disasters. To understand occurrence fault-slip induced rockbursts, we developed physical model test system for rockbursts mine drifts. The boundary storage (BES) loading apparatus and bottom rapid retraction (BRR) are designed to...
With the growing penetration of power electronic converters in systems, issue reliability becomes more critical than ever before. This paper proposes a hierarchical framework to evaluate electric system from converter level overall level. On level, model is developed based on devices it composed of, for which various hourly input profiles and topologies are considered. metrics such as expected energy not served (EENS) loss load expectation (LOLE) estimated through non-sequential Monte Carlo...
With the proliferation of renewable energy and power electronic converters in systems, reliability issue has raised more research attention than ever before.This paper proposes a comprehensive framework to assess system considering effect from various converter uncertainties.For stage, we formulate model for each based on several semiconductor devices, which ambient uncertainties topologies are considered.For estimate indicators through non-sequential Monte Carlo simulation calculate their...
With the growing penetration of power electronic converters in systems, issue reliability becomes more critical than ever before. This paper proposes a hierarchical framework to evaluate electric system from converter level overall level. On level, model is developed based on devices it composed of, for which various hourly input profiles and topologies are considered. metrics such as expected energy not served (EENS) loss load expectation (LOLE) estimated through non-sequential Monte Carlo...
This paper explores and presents a detailed mathematical model for optimal routing charging of an Uber-like electric vehicle (EV) taking into account dynamic electricity price passenger satisfaction. Based on extended Pickup Delivery Problem (PDP), the proposed optimization problem aims at determination best route from start node (origin) to end (final destination) while satisfying requirements all passengers (e.g., travel time distance), together with reducing driver's operation cost cost)....
Abstract This paper utilizes Bayesian network (BN) structure searching and scoring algorithms to identify critical nodes investigate their reliability interdependencies for a power system under great converter penetration. As more converters are integrated into the system, interactions among various will frequently emerge consequently introduce concerns. However, causal relations have rarely been explored demonstrated in clear manner. Therefore, authors apply BN visualize proposed...
Hybrid electric vehicles (HEVs) provide a promising alternative to conventional engine-powered vehicles, with less emission and better fuel economy. This study proposes hierarchical control for power-split HEV over driving cycle, featuring pre-trip optimisation en-route speed adaption. Constraints including vehicle powertrain boundaries, road gradients, limits, are taken into consideration. In the first stage, operating conditions, optimal SOC, profiles, total time, generated entire trip...
This paper presents a simulation platform for energy-efficient dynamic commuter transit using fleet of electric vehicles (EVs). A mathematical model the extended pickup and delivery problems is implemented to determine optimal routing charging choices all participating EVs in an urban network. The overall objective explore routes while considering requirements passengers local/global constraints (e.g. battery state-of-charge station availability). allows service provider predict evaluate...
It is great significance that reasonably evaluates the customer satisfaction of e-business. That can help enterprises to know damands and train loyalty. The paper firstly analyses key factors influcing enterprise e-business satisfaction, establish an evaluation index system satisfaction. Then this uses unascertained measurement model based on theory mathematics evaluate evaluating process result show method scientific practical.