no code implementations • 12 Jan 2023 • Amir Farakhor, Di wu, Yebin Wang, Huazhen Fang
An optimal power management approach is developed to extensively exploit the merits of the proposed design.
no code implementations • 11 Nov 2022 • Nikhil Biju, Huazhen Fang
Advanced battery management is to lithium-ion battery systems as the brain is to the human body.
no code implementations • 12 Jul 2022 • Chuan Yan, Tao Yang, Huazhen Fang
Limited information availability represents a fundamental challenge for control of multi-agent systems, since an agent often lacks sensing capabilities to measure certain states of its own and can exchange data only with its neighbors.
1 code implementation • 9 May 2022 • Iman Askari, Shen Zeng, Huazhen Fang
Nonlinear model predictive control (NMPC) has gained widespread use in many applications.
no code implementations • 9 May 2022 • Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang
The implicit particle filter seeks to mitigate particle degeneracy by identifying particles in the target distribution's high-probability regions.
no code implementations • 24 Dec 2021 • Hao Tu, Scott Moura, Yebin Wang, Huazhen Fang
This paper proposes two new frameworks to integrate physics-based models with machine learning to achieve high-precision modeling for LiBs.
no code implementations • 22 Mar 2021 • Hao Tu, Scott Moura, Huazhen Fang
Mathematical modeling of lithium-ion batteries (LiBs) is a central challenge in advanced battery management.