Tao Zeng

About Tao Zeng

Tao Zeng, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Chongqing University, specializes in the field of Fuel Cell System, Machine Learning, Scenario Forecasting, Intelligent Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Coupling Mechanism Analysis and Decoupling Control of the Air Supply System for Fuel Cell Engine in Fuel Cell Vehicle

Numerical investigation of enhanced mass transfer flow field on performance improvement of high‐temperature proton exchange membrane fuel cell

Modeling, control and analysis of a novel energy-saving oriented fuel cell anode system

A systematic review on the current research of digital twin in automotive application

Feedforward-based decoupling control of air supply for vehicular fuel cell system: Methodology and experimental validation

Modeling and simulation of vehicle integrated thermal management system for a fuel cell hybrid vehicle

Progress and challenges in multi-stack fuel cell system for high power applications: architecture and energy management

Genetic algorithm-based fuzzy optimization of energy management strategy for fuel cell vehicles considering driving cycles recognition

Tao Zeng Information

University

Position

Ph.D. Candidate

Citations(all)

472

Citations(since 2020)

472

Cited By

62

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Tao Zeng Skills & Research Interests

Fuel Cell System

Machine Learning

Scenario Forecasting

Intelligent Control

Top articles of Tao Zeng

Coupling Mechanism Analysis and Decoupling Control of the Air Supply System for Fuel Cell Engine in Fuel Cell Vehicle

IEEE Transactions on Transportation Electrification

2024/2/22

Numerical investigation of enhanced mass transfer flow field on performance improvement of high‐temperature proton exchange membrane fuel cell

Fuel Cells

2023/6

Modeling, control and analysis of a novel energy-saving oriented fuel cell anode system

Energy Conversion and Management

2023/5/1

A systematic review on the current research of digital twin in automotive application

2023/4/23

Feedforward-based decoupling control of air supply for vehicular fuel cell system: Methodology and experimental validation

Applied Energy

2023/4/1

Modeling and simulation of vehicle integrated thermal management system for a fuel cell hybrid vehicle

Energy Conversion and Management

2023/2/15

Progress and challenges in multi-stack fuel cell system for high power applications: architecture and energy management

2023/1/20

Genetic algorithm-based fuzzy optimization of energy management strategy for fuel cell vehicles considering driving cycles recognition

Energy

2023/1/15

Cascade control method of sliding mode and PID for PEMFC air supply system

Energies

2022/12/25

Lin Yang
Lin Yang

H-Index: 51

Tao Zeng
Tao Zeng

H-Index: 4

Pressure Difference Control Between Cathode and Anode of Proton Exchange Membrane Fuel Cell Based on Fuzzy PID Controller

2022/12/3

Lin Yang
Lin Yang

H-Index: 51

Tao Zeng
Tao Zeng

H-Index: 4

Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model

Applied Energy

2022/12/1

Study of degradation of fuel cell stack based on the collected high-dimensional data and clustering algorithms calculations

Energy and AI

2022/11/1

Modeling and analysis of water vapor dynamics in high-temperature proton exchange membrane fuel cell coupling gas-crossover phenomena

International Journal of Hydrogen Energy

2022/5/15

Improved efficiency maximization strategy for vehicular dual-stack fuel cell system considering load state of sub-stacks through predictive soft-loading

Renewable Energy

2021/12/1

Enhancing reactant mass transfer inside fuel cells to improve dynamic performance via intelligent hydrogen pressure control

Energy

2021/9/1

Tao Zeng
Tao Zeng

H-Index: 4

Qi Wu
Qi Wu

H-Index: 18

Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle

Energy

2021/7/15

Systematic study of short circuit activation on the performance of PEM fuel cell

International Journal of Hydrogen Energy

2021/7/1

Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles

Energy

2020/10/1

See List of Professors in Tao Zeng University(Chongqing University)

Co-Authors

academic-engine