Lithium-ion Battery Life Cycle Prediction with Deep Learning Regression Model

2020 ◽  
Author(s):  
Huawei Yang ◽  
Yuan Cao ◽  
Huaiqi Xie ◽  
Shuai Shao ◽  
Jie Zhao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Life Cycle ◽  
Regression Model ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Life

scholarly journals Use-Phase Drives Lithium-Ion Battery Life Cycle Environmental Impacts When Used for Frequency Regulation

2018 ◽  
Vol 52 (17) ◽  
pp. 10163-10174 ◽  
Author(s):  
Nicole A. Ryan ◽  
Yashen Lin ◽  
Noah Mitchell-Ward ◽  
Johanna L. Mathieu ◽  
Jeremiah X. Johnson
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Environmental Impacts ◽  
Lithium Ion ◽  
Frequency Regulation ◽  
Battery Life ◽  
Use Phase

scholarly journals Lithium-Ion Battery Management System: A Lifecycle Evaluation Model for the Use in the Development of Electric Vehicles

2018 ◽  
Vol 144 ◽  
pp. 04020 ◽  
Author(s):  
Ayush Sisodia ◽  
Jonathan Monteiro
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Evaluation Model ◽  
Lithium Ion ◽  
Battery Life ◽  
Battery Management System ◽  
Battery Management ◽  
System A

The use of Lithium-ion batteries in the automobile sector has expanded drastically in the recent years. The foreseen increment of lithium to power electric and hybrid electric vehicles has provoked specialists to analyze the long term credibility of lithium as a transportation asset. To give a better picture of future accessibility, this paper exhibits a life cycle model for the key procedures and materials associated with the electric vehicle lithium-ion battery life cycle, on a worldwide scale. This model tracks the flow of lithium and energy sources from extraction, to generation, to on road utilization, and the role of reusing and scrapping. This life cycle evaluation model is the initial phase in building up an examination model for the lithium ion battery production that would enable the policymakers to survey the future importance of lithium battery recycling, and when in time setting up a reusing foundation be made necessary.

Water-based manufacturing of lithium ion battery for life cycle impact mitigation

CIRP Annals ◽  
2021 ◽  
Author(s):  
Chris Yuan ◽  
Huajun Cao ◽  
Kang Shen ◽  
Yelin Deng ◽  
Dan Zeng ◽  
...  
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Impact Mitigation ◽  
Water Based ◽  
Life Cycle Impact

Life Cycle Assessment of Silicon-Nanotube-Based Lithium Ion Battery for Electric Vehicles

2018 ◽  
Vol 7 (1) ◽  
pp. 599-610 ◽  
Author(s):  
Yelin Deng ◽  
Lulu Ma ◽  
Tonghui Li ◽  
Jianyang Li ◽  
Chris Yuan
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
Silicon Nanotube

scholarly journals Development of Life-cycle Detection and Extending Function for Reusing Automotive Lithium-ion Battery – Verified in 52V LiMnNiCoO2 Platform

2020 ◽  
Author(s):  
Wu-Yang Sean ◽  
Ana Pacheco
Keyword(s):  
Life Cycle ◽  
Lithium Ion Battery ◽  
Management System ◽  
Open Circuit Voltage ◽  
Lithium Ion ◽  
Open Circuit ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Cycle Detection

Abstract For reusing automotive lithium-ion battery, an in-house battery management system is developed. To overcome the issues of life cycle and capacity of reused battery, an online function of estimating battery’s internal resistance and open-circuit voltage based on adaptive control theory are applied for monitoring life cycle and remained capacity of battery pack simultaneously. Furthermore, ultracapacitor is integrated in management system for sharing peak current to prolong life span of reused battery pack. The discharging ratio of ultracapacitor is adjusted manually under Pulse-Width-Modulation signal in battery management system. In case study in 52V LiMnNiCoO2 platform, results of estimated open-circuit voltage and internal resistances converge into stable values within 600(s). These two parameters provide precise estimation for electrical capacity and life cycle. It also shows constrained voltage drop both in the cases of 25% to 75% of ultracapacitors discharging ratio compared with single battery. Consequently, the Life-cycle detection and extending functions integrated in battery management system as a total solution for reused battery are established and verified.

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