Evaluation of different plasma conditions and resolutions for understanding elemental organophosphorus analysis via GC-ICP-SF-MS

2018 ◽  
Vol 33 (6) ◽  
pp. 1041-1048 ◽  
Author(s):  
Yannick Philipp Stenzel ◽  
Martin Winter ◽  
Sascha Nowak
Keyword(s):  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
Solvent Mixture ◽  
The State ◽  
Organic Carbonates ◽  
Conducting Salt ◽  
Battery Application ◽  
Lithium Hexafluorophosphate

The state-of-the-art electrolyte in lithium ion battery application is composed of a solvent mixture of organic carbonates and lithium hexafluorophosphate (LiPF6) as the conducting salt.

High-energy-density lithium-ion battery using a carbon-nanotube–Si composite anode and a compositionally graded Li[Ni0.85Co0.05Mn0.10]O2 cathode

2016 ◽  
Vol 9 (6) ◽  
pp. 2152-2158 ◽  
Author(s):  
Joo Hyeong Lee ◽  
Chong S. Yoon ◽  
Jang-Yeon Hwang ◽  
Sung-Jin Kim ◽  
Filippo Maglia ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Energy Density ◽  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Rechargeable Battery ◽  
Composite Anode ◽  
Battery System

A Li-rechargeable battery system based on state-of-the-art cathode and anode technologies demonstrated high energy density, meeting demands for vehicle application.

Fabrication of porous MnO microspheres with carbon coating for lithium ion battery application

CrystEngComm ◽  
2014 ◽  
Vol 16 (9) ◽  
pp. 1802 ◽  
Author(s):  
Xinzhen Wang ◽  
Song Qiu ◽  
Guixia Lu ◽  
Cuizhu He ◽  
Jiurong Liu ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Carbon Coating ◽  
Lithium Ion ◽  
Battery Application

Silicon‐Based Lithium Ion Battery Systems: State‐of‐the‐Art from Half and Full Cell Viewpoint

2021 ◽  
pp. 2102546
Author(s):  
Junpo Guo ◽  
Dongqi Dong ◽  
Jun Wang ◽  
Dan Liu ◽  
Xueqing Yu ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
Full Cell ◽  
Battery Systems ◽  
Silicon Based

scholarly journals State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1820 ◽  
Author(s):  
Ruifeng Zhang ◽  
Bizhong Xia ◽  
Baohua Li ◽  
Libo Cao ◽  
Yongzhi Lai ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
Soc Estimation ◽  
Electrical Vehicles

scholarly journals Acetonitrile-based electrolytes for lithium-ion battery application

2018 ◽  
Vol 20 ◽  
pp. 1 ◽  
Author(s):  
Peter Hilbig ◽  
Lukas Ibing ◽  
Benjamin Streipert ◽  
Ralf Wagner ◽  
Martin Winter ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Application

scholarly journals Estimation of lithium-ion battery state-of-charge using an extended kalman filter

2021 ◽  
Vol 10 (4) ◽  
pp. 1759-1768
Author(s):  
Mouhssine Lagraoui ◽  
Ali Nejmi ◽  
Hassan Rayhane ◽  
Abderrahim Taouni
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Extended Kalman Filter ◽  
Lithium Ion ◽  
The State ◽  
Operating Conditions ◽  
State Of Charge ◽  
Ohmic Loss ◽  
Battery Management System ◽  
Transfer Resistance

The main goal of a battery management system (BMS) is to estimate parameters descriptive of the battery pack operating conditions in real-time. One of the most critical aspects of BMS systems is estimating the battery's state of charge (SOC). However, in the case of a lithium-ion battery, it is not easy to provide an accurate estimate of the state of charge. In the present paper we propose a mechanism based on an extended kalman filter (EKF) to improve the state-of-charge estimation accuracy on lithium-ion cells. The paper covers the cell modeling and the system parameters identification requirements, the experimental tests, and results analysis. We first established a mathematical model representing the dynamics of a cell. We adopted a model that comprehends terms that describe the dynamic parameters like SOC, open-circuit voltage, transfer resistance, ohmic loss, diffusion capacitance, and resistance. Then, we performed the appropriate battery discharge tests to identify the parameters of the model. Finally, the EKF filter applied to the cell test data has shown high precision in SOC estimation, even in a noisy system.

Synthesis and electrochemical properties of FeCO 3 with different morphology for lithium-ion battery application

2017 ◽  
Vol 698 ◽  
pp. 87-93 ◽  
Author(s):  
Xiaolin Liu ◽  
Shuijin Yang ◽  
Xiao Chen ◽  
Hao Zheng ◽  
Zaiping Guo ◽  
...  
Keyword(s):  
Electrochemical Properties ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Application
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