scholarly journals Comparison of Lead-Acid and Li-Ion Batteries Lifetime Prediction Models in Stand-Alone Photovoltaic Systems

2021 ◽  
Vol 11 (3) ◽  
pp. 1099
Author(s):  
Rodolfo Dufo-López ◽  
Tomás Cortés-Arcos ◽  
Jesús Sergio Artal-Sevil ◽  
José L. Bernal-Agustín
Keyword(s):  
Prediction Models ◽  
Battery Life ◽  
Li Ion Batteries ◽  
Life Estimation ◽  
Throughput Model ◽  
Cycle Count ◽  
Li Ion ◽  
Aging Models ◽  
The Cost ◽  
Lead Acid

Several models for estimating the lifetimes of lead-acid and Li-ion (LiFePO4) batteries are analyzed and applied to a photovoltaic (PV)-battery standalone system. This kind of system usually includes a battery bank sized for 2.5 autonomy days or more. The results obtained by each model in different locations with very different average temperatures are compared. Two different locations have been considered: the Pyrenees mountains in Spain and Tindouf in Argelia. Classical battery aging models (equivalent full cycles model and rainflow cycle count model) generally used by researchers and software tools are not adequate as they overestimate the battery life in all cases. For OPzS lead-acid batteries, an advanced weighted Ah-throughput model is necessary to correctly estimate its lifetime, obtaining a battery life of roughly 12 years for the Pyrenees and around 5 years for the case Tindouf. For Li-ion batteries, both the cycle and calendar aging must be considered, obtaining more than 20 years of battery life estimation for the Pyrenees and 13 years for Tindouf. In the cases studied, the lifetime of LiFePO4 batteries is around two times the OPzS lifetime. As nowadays the cost of LiFePO4 batteries is around two times the OPzS ones, Li-ion batteries can be competitive with OPzS batteries in PV-battery standalone systems.

Promotional recyclable Li-ion batteries by a magnetic binder with anti-vibration and non-fatigue performance

2015 ◽  
Vol 3 (30) ◽  
pp. 15403-15407 ◽  
Author(s):  
Xizheng Liu ◽  
De Li ◽  
Songyan Bai ◽  
Haoshen Zhou
Keyword(s):  
Cycle Life ◽  
Fatigue Performance ◽  
Pollutant Emission ◽  
Battery Life ◽  
Li Ion Batteries ◽  
Li Ion Battery ◽  
Total Cost ◽  
Long Cycle Life ◽  
Free Process ◽  
Li Ion

Magnetic Fe3O4 particles are used as the binder in a Li-ion battery. This new battery gives a long cycle life and can work well even after intensive vibration. The electrode is fabricated in a liquid-free process and can be easily recycled after battery disposal. It decrease the total cost and pollutant emission over the whole battery life.

scholarly journals Analysis of Optimal Machine Learning Approach for Battery Life Estimation of Li-ion Cell

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Prakash Venugopal ◽  
S Siva Shankar ◽  
C Phillip Jebakumar ◽  
Rishab Agarwal ◽  
Hassan Haes Alhelou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Battery Life ◽  
Learning Approach ◽  
Life Estimation ◽  
Machine Learning Approach ◽  
Li Ion ◽  
Optimal Machine

scholarly journals Artificial Fish Swarm Algorithm-Based Particle Filter for Li-Ion Battery Life Prediction

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Ye Tian ◽  
Chen Lu ◽  
Zili Wang ◽  
Laifa Tao
Keyword(s):  
Particle Filter ◽  
Lithium Ion ◽  
Integrated Approach ◽  
Remaining Useful Life ◽  
Battery Life ◽  
Li Ion Batteries ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm ◽  
Li Ion ◽  
Swarm Algorithm

An intelligent online prognostic approach is proposed for predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries based on artificial fish swarm algorithm (AFSA) and particle filter (PF), which is an integrated approach combining model-based method with data-driven method. The parameters, used in the empirical model which is based on the capacity fade trends of Li-ion batteries, are identified dependent on the tracking ability of PF. AFSA-PF aims to improve the performance of the basic PF. By driving the prior particles to the domain with high likelihood, AFSA-PF allows global optimization, prevents particle degeneracy, thereby improving particle distribution and increasing prediction accuracy and algorithm convergence. Data provided by NASA are used to verify this approach and compare it with basic PF and regularized PF. AFSA-PF is shown to be more accurate and precise.

scholarly journals Optimization of Isolated Hybrid Microgrids with Renewable Energy Based on Different Battery Models and Technologies

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 581 ◽  
Author(s):  
Yimy García-Vera ◽  
Rodolfo Dufo-López ◽  
José Bernal-Agustín
Keyword(s):  
Lithium Batteries ◽  
Prediction Models ◽  
Battery Life ◽  
Essential Factor ◽  
Diesel Generator ◽  
Storage Devices ◽  
Remote Areas ◽  
Life Estimation ◽  
Hybrid Microgrid ◽  
And Storage

Energy supply in remote areas (mainly in developing countries such as Colombia) has become a challenge. Hybrid microgrids are local and reliable sources of energy for these areas where access to the power grid is generally limited or unavailable. These systems generally include a diesel generator, solar modules, wind turbines, and storage devices such as batteries. Battery life estimation is an essential factor in the optimization of a hybrid microgrid since it determines the system’s final costs, including future battery replacements. This article presents a comparison of different technologies and battery models in a hybrid microgrid. The optimization is achieved using the iHOGA software, based on data from a real microgrid in Colombia. The simulation results allowed the comparison of prediction models for lifespan calculation for both lead–acid and lithium batteries in a hybrid microgrid, showing that the most accurate models are more realistic in predicting battery life by closely estimating real lifespans that are shorter, unlike other simplified methods that obtain much longer and unrealistic lifetimes.

scholarly journals INNOVATING CARBON MATERIALS OPEN NEW POSSIBILITIES FOR INCREASING PERFORMANCE OF Li-ion BATTERIES

World Science ◽  
2019 ◽  
Vol 1 (2(42)) ◽  
pp. 4-8
Author(s):  
Yurii Pustovalov ◽  
Elеna Shembel ◽  
Vlad Redko ◽  
Timothy Pastushkin ◽  
Nellya Zaderey ◽  
...  
Keyword(s):  
Research And Development ◽  
Cathode Materials ◽  
Carbon Materials ◽  
Aqueous Electrolytes ◽  
Li Ion Batteries ◽  
Li Ion ◽  
Li Batteries ◽  
The Cost

The purpose of research and development, the results of which are presented in this publication is the modification of carbon materials for use in anode and cathode materials Li batteries with non-aqueous electrolytes. Innovative carbon materials will provide increased energy and safety of lithium current sources, while at the same time reducing the cost of lithium current sources.

Charging and discharging characteristics of Lead acid and Li-ion batteries

2014 ◽  
Author(s):  
Neetu Meena ◽  
Vishakha Baharwani ◽  
Deepak Sharma ◽  
Arvind Sharma ◽  
Bishnu Choudhary ◽  
...  
Keyword(s):  
Li Ion Batteries ◽  
Li Ion ◽  
Lead Acid

US battery and energy storage markets will grow

2018 ◽  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Large Scale ◽  
Lithium Ion ◽  
Due Diligence ◽  
Li Ion Batteries ◽  
Content Type ◽  
Major Transition ◽  
Li Ion ◽  
The Cost

Subject Batteries and energy storage. Significance With the rise of renewable energies and electric vehicles, a major transition is underway in global energy markets. The key to facilitating growth in both areas is the falling cost of lithium-ion (Li-ion) batteries. Cheaper batteries have helped to reduce the cost of electric vehicles and are making large-scale energy storage on the power grid -- which is a necessity if renewables are to continue growing -- a reality. Impacts Secure access to lithium, cobalt and other battery-related materials will be vital to economic development. Competition over resources to build batteries could see protests, skirmishing and illegal trade where the resources are. Companies face higher due diligence demands when sourcing battery-producing materials.

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