Abbas Fotouhi

According to our database, Abbas Fotouhi authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal Control of Race Car With Aerodynamic Slipstreaming Effect.

Xuze Liu, Abbas Fotouhi, Marco Cecotti, Daniel J. Auger

IEEE Trans. Control. Syst. Technol., November, 2024

Formula-E Multi-Car Race Strategy Development - A Novel Approach Using Reinforcement Learning.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

IEEE Trans. Intell. Transp. Syst., August, 2024

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic.

Lin Li, Wanzhong Zhao, Chunyan Wang, Abbas Fotouhi, Xuze Liu

Expert Syst. Appl., March, 2024

Battery Temperature Prediction in Electric Vehicles Using Bayesian Regularization.

R. Alp Akpinar, Sreekar Achanta, Abbas Fotouhi, Hanwen Zhang, Daniel J. Auger

Proceedings of the 20th International Conference on Synthesis, 2024

2023

Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming.

Jie Li, Yonggang Liu, Abbas Fotouhi, Xiangyu Wang, Zheng Chen, Yuanjian Zhang, Liang Li

IEEE Trans. Veh. Technol., March, 2023

Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium-Sulphur Battery.

Nicolas Valencia, Abbas Fotouhi, Neda Shateri, Daniel J. Auger

Int. J. Fuzzy Syst., March, 2023

2022

Application of advanced tree search and proximal policy optimization on formula-E race strategy development.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

Expert Syst. Appl., 2022

2021

Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique.

Neda Shateri, Zhihao Shi, Daniel J. Auger, Abbas Fotouhi

IEEE Trans. Veh. Technol., 2021

Formula-E race strategy development using distributed policy gradient reinforcement learning.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

Knowl. Based Syst., 2021

2020

Formula-E race strategy development using artificial neural networks and Monte Carlo tree search.

Xuze Liu, Abbas Fotouhi

Neural Comput. Appl., 2020

State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks.

Zhihuo Wang, Abbas Fotouhi, Daniel J. Auger

Proceedings of the 18th European Control Conference, 2020

2018

Accuracy Versus Simplicity in Online Battery Model Identification.

Abbas Fotouhi, Daniel J. Auger, Karsten Propp, Stefano Longo

IEEE Trans. Syst. Man Cybern. Syst., 2018

2017

Lithium-Sulfur Cell Equivalent Circuit Network Model Parameterization and Sensitivity Analysis.

Abbas Fotouhi, Daniel J. Auger, Karsten Propp, Stefano Longo, Rajlakshmi Purkayastha, Laura O'Neill, Sylwia Walus

IEEE Trans. Veh. Technol., 2017

2016

A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation.

Abbas Fotouhi, Neda Shateri, Daniel J. Auger, Stefano Longo, Karsten Propp, Rajlakshmi Purkayastha, Mark Wild

Proceedings of the 13th International Conference on Synthesis, 2016