Nickel material based battery life and vehicle safety management system for automobiles

Parvin, J. Rejina; Kumar, Surendra; Elakya, A.; Priyadharsini, K.; Sowmya, R.

doi:10.1016/j.matpr.2020.08.659

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…The safety problem is mainly manifested in the fire caused by the thermal runaway because of overcharging, short circuits, and impacts, − which is a great challenge for the development of lithium-ion batteries. Methods to improve the safety of lithium-ion batteries include the modification of electrolyte, − surface treatment of separators, , modification of the cathode, development of battery management systems, and application of flame retardants. The application of flame retardants is one of the most simple and effective methods, which has been widely studied in recent years.…”

Section: Introductionmentioning

confidence: 99%

Synergistic Flame Retardancy of Microcapsules Based on Ammonium Polyphosphate and Aluminum Hydroxide for Lithium-Ion Batteries

Yang

Jiang

et al. 2021

ACS Omega

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Flame retardants have important theoretical research and applied value for lithium-ion battery safety. Microcapsule flame retardants based on ammonium polyphosphate (APP) and aluminum hydroxide (ATH) were synthesized for application in lithium-ion batteries. First, the ATH–APP was prepared by coating a layer of ATH on the surface of the core APP. Then, the ATH–APP was encapsulated by poly(urea-formaldehyde) (PUF) to obtain en-ATH–APP. The structure and flame-retardant property of en-ATH–APP, the influence of en-ATH–APP on the thermal stability of the electrode, and the electrochemical performance of the battery were studied. The results of Fourier transform infrared and scanning electron microscope experiments indicated that APP was coated with ATH and PUF in turn. The results of differential scanning calorimetry and the fire extinguishing test for electrodes manifested that en-ATH–APP had better flame-retardant property than APP because of the synergistic effect between APP and ATH. Moreover, the flame-retardant efficiency of en-ATH–APP was comparable to that of ATH–APP, indicating that the presence of PUF had almost no effect on the flame-retardant property. The results of electrochemical experiments indicated that en-ATH–APP had the best electrochemical compatibility for the battery compared with APP and ATH–APP. The research lights the way to improve inherent safety of lithium-ion batteries by adding en-ATH–APP to the cathode.

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Section: Introductionmentioning

confidence: 99%

Synergistic Flame Retardancy of Microcapsules Based on Ammonium Polyphosphate and Aluminum Hydroxide for Lithium-Ion Batteries

Yang

Jiang

et al. 2021

ACS Omega

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“…With the rapid development of internet technology, the level of technical content in the automobile industry has been greatly improved. Although there are various safety technical measures used in vehicles that aim at reducing the harm to drivers when traffic accidents occur, they cannot fundamentally solve the hidden dangers caused by human factors (Accident Analysis & Prevention, 2020; Parvin et al, 2020; Peng et al, 2018). Autonomous driving technology is regarded as an effective solution to this series of traffic problems, and its development is attracting much attention.…”

Section: Introductionmentioning

confidence: 99%

Autonomous driving planning and decision making based on game theory and reinforcement learning

et al. 2022

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Autonomous driving technology is one of the important methods that avoid the hidden dangers of traffic safety. Although the existing autonomous driving technology can meet some needs of real traffic scenarios, the ability of multi-agents to effectively generate autonomous driving strategy in complex traffic environments remains to be improved. Aiming at this problem, the automatic drive model based on game theory and reinforcement learning is proposed by combining these two technologies and applying them in multi-agent cooperative driving, which enables multi-agents to carry out strategic reasoning with negotiation in traffic scenarios by extending the game description language, and puts forward the constrained multi-agents deep deterministic policies gradient algorithm. Finally, the related experiments are conducted through the autonomous driving simulation platform, and the experimental results show that the proposed model can effectively generate driving strategies for multi-agents in complex traffic environments, which verifies the validity and feasibility of the proposed model, and provides the general research basis for multi-agents autonomous driving.

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Field Monitoring and Automatic Agricultural System

Gunapriya,

et al. 2024

2024 International Conference on Science Technology Engineering and Management (ICSTEM)

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Nickel material based battery life and vehicle safety management system for automobiles

Cited by 4 publications

References 23 publications

Synergistic Flame Retardancy of Microcapsules Based on Ammonium Polyphosphate and Aluminum Hydroxide for Lithium-Ion Batteries

Synergistic Flame Retardancy of Microcapsules Based on Ammonium Polyphosphate and Aluminum Hydroxide for Lithium-Ion Batteries

Autonomous driving planning and decision making based on game theory and reinforcement learning

Field Monitoring and Automatic Agricultural System

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