Critical Insights Into Fast Charging Techniques for Lithium-Ion Batteries in Electric Vehicles

Duru, Kamala Kumari; Karra, Chanakya; Venkatachalam, Praneash; Betha, Sai Akhil; Madhavan, Asha Anish; Kalluri, Sujith

doi:10.1109/tdmr.2021.3051840

Cited by 50 publications

(16 citation statements)

References 64 publications

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“…Current government policy identifies automobile lightweight development technology (ALDT) as one of the development technology routes in key areas, and it proposes that the value of more instructive, more guiding, and strategic planning significance be determined in accordance with the development status of China's automobile industry (ACI). As a result, the discussion and research on the core technologies of lightweight new energy vehicles presented in this paper have both theoretical and practical significance [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 91%

Key Technologies of Lightweight Materials for New Energy Vehicles Based on Ant Colony Algorithm

Mei

2022

Computational Intelligence and Neuroscience

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From the perspective of the new energy vehicle, application of lightweight technology can effectively improve the endurance level of new energy vehicles and promote the steady improvement and rapid development of China’s new energy vehicle industry. By keeping in view the importance of lightweight effect of new energy vehicles, in this paper, we have carried out an in-depth analysis of key contents such as new materials, battery weight, carbon fiber technology, and structural design technology in the process of lightweight development of new energy vehicles. Furthermore, this paper introduces the pseudorandom proportional rule to improve the selection method of the seed solution, makes appropriate random disturbance to the center of the pheromone distribution, and reforms the standard deviation of the pheromone distribution. Taking the lightweight of new energy vehicle doors as an example, this paper verifies the new energy vehicle lightweight algorithm based on ant colony algorithm. It is found that the improved continuous domain basic ant colony algorithm is superior to the other two algorithms and it has the capacity to solve optimization problems and has the advantages of high reliability.

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Section: Introductionmentioning

confidence: 91%

Key Technologies of Lightweight Materials for New Energy Vehicles Based on Ant Colony Algorithm

Mei

2022

Computational Intelligence and Neuroscience

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“…The large parameter space makes it difficult to develop a ‘rigid’ universal fast-charging protocol that is compatible with all conditions and the entire cell lifespan. Currently, it is typical that battery companies only provide a few preset charging protocols which are rigid, reflecting little on the environmental variables and the state of degradation 37 . It could eventually trigger Li-plating when variables change and result in rapid cell degradation.…”

Section: Resultsmentioning

confidence: 99%

Onboard early detection and mitigation of lithium plating in fast-charging batteries

Huang

Chen

et al. 2022

Nat Commun

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Fast-charging is considered as one of the most desired features needed for lithium-ion batteries to accelerate the mainstream adoption of electric vehicles. However, current battery charging protocols mainly consist of conservative rate steps to avoid potential hazardous lithium plating and its associated parasitic reactions. A highly sensitive onboard detection method could enable battery fast-charging without reaching the lithium plating regime. Here, we demonstrate a novel differential pressure sensing method to precisely detect the lithium plating event. By measuring the real-time change of cell pressure per unit of charge (dP/dQ) and comparing it with the threshold defined by the maximum of dP/dQ during lithium-ion intercalation into the negative electrode, the onset of lithium plating before its extensive growth can be detected with high precision. In addition, we show that by integrating this differential pressure sensing into the battery management system (BMS), a dynamic self-regulated charging protocol can be realized to effectively extinguish the lithium plating triggered by low temperature (0 °C) while the conventional static charging protocol leads to catastrophic lithium plating at the same condition. We propose that differential pressure sensing could serve as an early nondestructive diagnosis method to guide the development of fast-charging battery technologies.

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“…Several review papers were published on BESS-related technologies and development [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. In summary, researchers [12] have studied the state-of-the-art wired and wireless technologies in battery EVs.…”

Section: Related Workmentioning

confidence: 99%

Future Trends and Aging Analysis of Battery Energy Storage Systems for Electric Vehicles

et al. 2021

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The increase of electric vehicles (EVs), environmental concerns, energy preservation, battery selection, and characteristics have demonstrated the headway of EV development. It is known that the battery units require special considerations because of their nature of temperature sensitivity, aging effects, degradation, cost, and sustainability. Hence, EV advancement is currently concerned where batteries are the energy accumulating infers for EVs. This paper discusses recent trends and developments in battery deployment for EVs. Systematic reviews on explicit energy, state-of-charge, thermal efficiency, energy productivity, life cycle, battery size, market revenue, security, and commerciality are provided. The review includes battery-based energy storage advances and their development, characterizations, qualities of power transformation, and evaluation measures with advantages and burdens for EV applications. This study offers a guide for better battery selection based on exceptional performance proposed for traction applications (e.g., BEVs and HEVs), considering EV’s advancement subjected to sustainability issues, such as resource depletion and the release in the environment of ozone and carbon-damaging substances. This study also provides a case study on an aging assessment for the different types of batteries investigated. The case study targeted lithium-ion battery cells and how aging analysis can be influenced by factors such as ambient temperature, cell temperature, and charging and discharging currents. These parameters showed considerable impacts on life cycle numbers, as a capacity fading of 18.42%, between 25–65 °C was observed. Finally, future trends and demand of the lithium-ion batteries market could increase by 11% and 65%, between 2020–2025, for light-duty and heavy-duty EVs.

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Critical Insights Into Fast Charging Techniques for Lithium-Ion Batteries in Electric Vehicles

Cited by 50 publications

References 64 publications

Key Technologies of Lightweight Materials for New Energy Vehicles Based on Ant Colony Algorithm

Key Technologies of Lightweight Materials for New Energy Vehicles Based on Ant Colony Algorithm

Onboard early detection and mitigation of lithium plating in fast-charging batteries

Future Trends and Aging Analysis of Battery Energy Storage Systems for Electric Vehicles

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