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Inspired by a recent experimental and theoretical study [Yang et al., 2017], wherein protrusions in graphene have been proposed as an effective strategy to enhance the performance of sodium ion batteries, a comprehensive study of the…

Applied Physics · Physics 2020-06-08 Babita Rani , Vladimir Bubanja , Vijay K. Jindal

This paper presents a probabilistic surrogate model for the accelerated design of electric vehicle battery enclosures with a focus on crash performance. The study integrates high-throughput finite element simulations and Gaussian Process…

Machine Learning · Computer Science 2024-08-08 Shadab Anwar Shaikh , Harish Cherukuri , Kranthi Balusu , Ram Devanathan , Ayoub Soulami

Metal fluoride and oxides can store multiple lithium-ions through conversion chemistry to enable high energy-density lithium-ion batteries. However, their practical applications have been hindered by an unusually large voltage hysteresis…

Materials Science · Physics 2016-07-08 Linsen Li , Ryan Jacobs , Peng Gao , Liyang Gan , Feng Wang , Dane Morgan , Song Jin

The ever increasing penetration of plug-in hybrid electric vehicles in distribution systems has triggered the need for a more accurate and at the same time fast solution to probabilistic distribution power flow problem. In this paper a…

Signal Processing · Electrical Eng. & Systems 2017-10-31 Mohammadhadi Rouhani , Mohammad Mohammadi

A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. The binder-conductive additive phase of these electrodes consists of carbon…

Fast charging of lithium-ion batteries is limited by lithium plating, which occurs when the anode potential drops below 0 V vs Li/Li+. Model-based control aims to maximize charging current while maintaining anode potentials above this…

Systems and Control · Electrical Eng. & Systems 2026-05-19 Alessio Alberto Lodge , Alessio Lombardo Pontillo , Feye S. J. Hoekstra , Robinson Medina , Steven Wilkins , Ilenia Battiato

The usability of vehicles is highly dependent on their energy consumption. In particular, one of the main factors hindering the mass adoption of electric (EV), hybrid (HEV), and plug-in hybrid (PHEV) vehicles is range anxiety, which occurs…

Machine Learning · Computer Science 2023-04-18 Jihed Khiari , Cristina Olaverri-Monreal

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significant volume change during lithiation and…

Enhanced EV market penetration requires durability of the battery with high energy throughput. For long-term cycle stability of silicon-graphite anode capable of high energy density, the reversible redox reactions are crucial. Here, we…

The development of silicon anodes to replace conventional graphite in efforts to increase energy densities of lithium-ion batteries has been largely impeded by poor interfacial stability against liquid electrolytes. Here, stable operation…

The prediction of battery rate performance traditionally relies on computation-intensive numerical simulations. While simplified analytical models have been developed to accelerate the calculation, they usually assume battery performance to…

Materials Science · Physics 2024-04-09 Hongxuan Wang , Fan Wang , Ming Tang

This article presents a novel empirical study for the estimation of the State of Charge (SOC) of a lithium-ion (Li-ion) battery which uses a deep learning model with three hidden layers. We model a series of ten vehicle drive cycles that…

Signal Processing · Electrical Eng. & Systems 2020-11-20 Alexandre Barbosa de Lima , Maurício B. C. Salles , José Roberto Cardoso

Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require explicit battery models that are non-trivial to identify…

Systems and Control · Electrical Eng. & Systems 2023-04-18 Kaixiang Zhang , Kaian Chen , Xinfan Lin , Yusheng Zheng , Xunyun Yin , Xiaosong Hu , Ziyou Song , Zhaojian Li

The physical and chemical characteristics of cathodes used in batteries are derived from the lithium-ion phosphate cathodes crystalline arrangement, which is pivotal to the overall battery performance. Therefore, the correct prediction of…

Materials Science · Physics 2025-09-16 Yogesh Yadav , Sandeep K Yadav , Vivek Vijay , Ambesh Dixit

As the design of single-component battery electrodes has matured, the battery industry has turned to hybrid electrodes with blends of two or more active materials to enhance battery performance. Leveraging the best properties of each…

Materials Science · Physics 2023-05-26 Qiaohao Liang , Martin Z. Bazant

In this paper, we develop a hybrid prediction framework for accurate electric vehicle (EV) charging time estimation, a capability that is critical for trip planning, user satisfaction, and efficient operation of charging infrastructure. We…

Systems and Control · Electrical Eng. & Systems 2025-12-09 Praharshitha Aryasomayajula , Ting Bai , Andreas A. Malikopoulos

Nanoporous supercapacitors are an important player in the field of energy storage that fill the gap between dielectric capacitors and batteries. The key challenge in the development of supercapacitors is the perceived trade-off between…

Materials Science · Physics 2016-06-22 Alpha A Lee , Dominic Vella , Alain Goriely , Svyatoslav Kondrat

We propose a general theory for the analytical description of versatile hysteretic phenomena in a graphene field effect transistor (GFET) allowing for the existence of the external dipoles on graphene free surface and the localized states…

Mesoscale and Nanoscale Physics · Physics 2017-09-13 Anatolii I. Kurchak , Anna N. Morozovska , Maksym V. Strikha

Batteries are a key enabling technology for the decarbonization of transport and energy sectors. The safe and reliable operation of batteries is crucial for battery-powered systems. In this direction, the development of accurate and robust…

Machine Learning · Computer Science 2024-07-16 Jokin Alcibar , Jose I. Aizpurua , Ekhi Zugasti

This paper presents an experimental investigation and performance evaluation of a hybrid electric radio-controlled car powered by a Nickel-Metal Hydride battery combined with a renewable Proton Exchange Membrane Fuel Cell system. The study…

Signal Processing · Electrical Eng. & Systems 2025-10-22 Amirhesam Aghanouri , Mohamed Sabry , Joshua Cherian Varughese , Cristina Olaverri-Monreal