Javascript must be enabled to continue!
Li-NMC Battery Internal Resistance at Wide Range of Temperature Authors
View through CrossRef
One of the factors that affects energy transfer by Lithium-ion batteries is internal resistance. This internal resistance occurs due to resistivity of the electrochemical materials and its ionic component. Meanwhile, the internal resistance of a battery is affected by several factors such as temperature and their state of charge. To maintain battery health and prevent rapid degradation, the use of batteries at high temperatures should be avoided. In that relation, studies involving battery internal resistance are mostly conducted in an ideal temperatures range. This makes data on internal resistance at high temperatures scarce and insufficient. Accordingly, this internal resistance data is an important key component in predicting the battery temperature. Good internal resistance data at high temperatures can contribute to a more accurate battery temperature prediction. The purpose of this study is to provide internal resistance data for Li-MNC battery in wide range of temperature by means of experiment. In this study, the temperature of Lithium-ion Manganese-Nickel-Cobalt (Li-MNC) battery with the capacity of 40Ah was raised via high current discharge method. The discharge current used was 120A (3C) and 160A (4C). The discharge temperature was conducted from 26°C to 80°C. Internal resistance is then calculated from the measured voltage respond when 1C (40A) pulse current discharge flow through the battery. Results showed that as temperature increases, the value of internal resistance decreases. At the same time however, the rate of decrement declined until it become almost constant at high temperature range until reaching 80°C. The objective of this study is to provide the data of battery internal resistance at a wide temperature range up to 80°C. This information is important in developing a precise battery electro-thermal model that can predict battery performance and temperature. On the extend of that, this information will be useful in developing better battery management system to ensure good battery usage and safety.
Title: Li-NMC Battery Internal Resistance at Wide Range of Temperature Authors
Description:
One of the factors that affects energy transfer by Lithium-ion batteries is internal resistance.
This internal resistance occurs due to resistivity of the electrochemical materials and its ionic component.
Meanwhile, the internal resistance of a battery is affected by several factors such as temperature and their state of charge.
To maintain battery health and prevent rapid degradation, the use of batteries at high temperatures should be avoided.
In that relation, studies involving battery internal resistance are mostly conducted in an ideal temperatures range.
This makes data on internal resistance at high temperatures scarce and insufficient.
Accordingly, this internal resistance data is an important key component in predicting the battery temperature.
Good internal resistance data at high temperatures can contribute to a more accurate battery temperature prediction.
The purpose of this study is to provide internal resistance data for Li-MNC battery in wide range of temperature by means of experiment.
In this study, the temperature of Lithium-ion Manganese-Nickel-Cobalt (Li-MNC) battery with the capacity of 40Ah was raised via high current discharge method.
The discharge current used was 120A (3C) and 160A (4C).
The discharge temperature was conducted from 26°C to 80°C.
Internal resistance is then calculated from the measured voltage respond when 1C (40A) pulse current discharge flow through the battery.
Results showed that as temperature increases, the value of internal resistance decreases.
At the same time however, the rate of decrement declined until it become almost constant at high temperature range until reaching 80°C.
The objective of this study is to provide the data of battery internal resistance at a wide temperature range up to 80°C.
This information is important in developing a precise battery electro-thermal model that can predict battery performance and temperature.
On the extend of that, this information will be useful in developing better battery management system to ensure good battery usage and safety.
Related Results
Li-NMC Temperature Modelling Based on Realistic Internal Resistance
Li-NMC Temperature Modelling Based on Realistic Internal Resistance
Lithium-ion battery (LIB) produce heat when it is put under charging and discharging process. The heat generated during charging and discharging are directly related to the interna...
VARIAÇÕES ANATÔMICAS RELEVANTES DO NERVO MUSCULOCUTÂNEO
VARIAÇÕES ANATÔMICAS RELEVANTES DO NERVO MUSCULOCUTÂNEO
Introdução: O nervo musculocutâneo (NMC) é um ramo terminal do plexo braquial que geralmente se origina do fascículo lateral. Normalmente, após a sua emergência, atravessa obliquam...
Data-Driven Decision Making in Battery Technology – How to Compete in Global Battery Industry?
Data-Driven Decision Making in Battery Technology – How to Compete in Global Battery Industry?
Battery technology is regarded as a crucial key technology for the energy transition and thus a sustainable future, as batteries can store and distribute renewable energy to cover ...
The Electrochemical Impedance Spectroscopy Features of the Lithium Nickel Manganese Cobalt Oxide Based Lithium Ion Batteries During Cycling
The Electrochemical Impedance Spectroscopy Features of the Lithium Nickel Manganese Cobalt Oxide Based Lithium Ion Batteries During Cycling
Abstract
Electrochemical impedance spectroscopy (EIS) is a viable approach that can be used in lithium ion batteries (LIBs) to investigate the electrochemical behavi...
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Abstract
Introduction
Hospitals are high-risk environments for infections. Despite the global recognition of these pathogens, few studies compare microorganisms from community-acqu...
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION
This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimiza...
Pursuit of “Absolute Battery Safety, Fear-Free Energy and Mobility” - A Technology Roadmap Toward a Fail-Never Battery Future
Pursuit of “Absolute Battery Safety, Fear-Free Energy and Mobility” - A Technology Roadmap Toward a Fail-Never Battery Future
The Pursuit of “Absolute Battery Safety, Fear-Free Energy, and Mobility”—A ”Technology Roadmap Toward a Fail-Never Battery Future
As the electrification of transportation and energ...
A case of esophageal neuromuscular choristoma
A case of esophageal neuromuscular choristoma
Abstract
Background
Neuromuscular choristoma (NMC) is a rare peripheral nerve lesion that is composed of ectopic mature muscle fibers and nerve fasc...

