scholarly journals 2021 Edward G. Weston Fellowship - Summary Report: Layered Sodium Manganese Oxide as a Versatile Battery Cathode for Insertion of Monovalent Ions (Li+, Na+, and K+) in Non-aqueous Electrolytes

2021 ◽  
Vol 30 (4) ◽  
pp. 28-29
Author(s):  
Krishnakanth Sada

The transition from fossil fuels to carbon-free forms of renewable energy has become a spotlight with the revolutionary emergence of efficient electrochemical energy storage systems. It enables us to realize electric mobility empowered by Li-ion battery technology. Nevertheless, for the past three decades, the development of battery technology has been very sluggish, and it warrants new strategies to meet the growing demand for high energy density. In this spirit, we are working to develop versatile battery cathodes, which can be used for electrochemical and electrocatalytic applications.

Author(s):  
Lt. Col Pankaj Kushwaha

Abstract: Li-ion battery technology has become very important in recent years as these batteries show great promise as power source. They power most of today’s portable devices and seem to overcome the psychological barriers against the use of such high energy density devices on a larger scale. Lithium-ion batteries are being widely used in military applications for over a decade. These man portable applications include tactical radios, thermal imagers, ECM, ESM, and portable computing. In the next five years, due to the rapid inventions going on in li-ion batteries, the usage of lithium batteries will further expand to heavy-duty platforms, such as military vehicles, boats, shelter applications, aircraft and missiles. The aim of this paper is to review key aspects of Li-ion batteries, the basic science behind their operation, the most relevant components, anodes, cathodes, electrolyte solution as well as important future directions for R&D of advanced Li-ion batteries for demanding use in Indian Armed Forces which are deployed in very harsh conditions across the country. Keywords: Li-ion Battery, NiCd battery


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1074 ◽  
Author(s):  
Yu Miao ◽  
Patrick Hynan ◽  
Annette von Jouanne ◽  
Alexandre Yokochi

Over the past several decades, the number of electric vehicles (EVs) has continued to increase. Projections estimate that worldwide, more than 125 million EVs will be on the road by 2030. At the heart of these advanced vehicles is the lithium-ion (Li-ion) battery which provides the required energy storage. This paper presents and compares key components of Li-ion batteries and describes associated battery management systems, as well as approaches to improve the overall battery efficiency, capacity, and lifespan. Material and thermal characteristics are identified as critical to battery performance. The positive and negative electrode materials, electrolytes and the physical implementation of Li-ion batteries are discussed. In addition, current research on novel high energy density batteries is presented, as well as opportunities to repurpose and recycle the batteries.


Author(s):  
Zhiqiang Li ◽  
Xiaowei Fan ◽  
Fang Wang ◽  
Dasi He ◽  
Shifei Wei

This paper focuses on the cooling solution to a high energy density and large capacity Li-ion battery system which consist of four packs of 26650 cells. The cooling measure is a critical technology for many Li-ion battery systems especially that designed for hybrid electric vehicles, in which, high energy density within a limited space is very common in these systems. Both the safety and efficiency of Li-ion battery cells rely on the temperature which is under control of the battery thermal management system. In this study, temperature fields within battery boxes are simulated with the computational fluid dynamic (CFD) method. With the help of an airconditioner, a cooling solution is proposed for a relatively large dimensional, high energy density Li-ion battery cells array using by vehicles. Through the proposed solution, the maximum single-cell temperature is restricted to a reasonable level, and the maximum temperature difference throughout the battery system is also improved.


Author(s):  
Rana Mohtadi

The ever-rising demands for energy dense electrochemical storage systems have been driving interests in beyond Li-ion batteries such as those based on lithium and magnesium metals. These high energy density batteries suffer from several challenges, several of which stem from the flammability/volatility of the electrolytes and/or instability of the electrolyte with either the negative, positive electrode or both. Recently, hydride-based electrolytes have been paving a path towards overcoming these issues. Namely, highly performing solid state electrolytes have been reported and several key challenges in multivalent batteries were overcome. In this review, the classes of hydride-based electrolytes reported for energy dense batteries are discussed. Future perspectives are presented to guide research directions in this field.


Author(s):  
Nalin A. Chaturvedi ◽  
Jake F. Christensen ◽  
Reinhardt Klein ◽  
Aleksandar Kojic

Li-ion based batteries are believed to be the most promising battery system for HEV/PHEV/EV applications due to their high energy density, lack of hysteresis and low self-discharge currents. However, designing a battery, along with its Battery Management System (BMS), that can guarantee safe and reliable operation, is a challenge since aging and other mechanisms involving optimal charge and discharge of the battery are not sufficiently well understood. In a previous article [1], we presented a model that has been studied in [2]–[5] to understand the operation of a Li-ion battery. In this article, we continue our work and present an approximation technique that can be applied to a generic battery model. These approximation method is based on projecting solutions to a Hilbert subspace formed by taking the span of an countably infinite set of basis functions. In this article, we apply this method to the key diffusion equation in the battery model, thus providing a fast approximation for the single particle model (SPM) for both variable and constant diffusion case.


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