Lithium-Ion Battery Management in Electric Vehicles: A Review

Authors

  • Arvind Kumar SOEIT, Sanskriti University, Mathura, Uttar Pradesh, India Author
  • Ajay Agrawal SOEIT, Sanskriti University, Mathura, Uttar Pradesh, India Author

Keywords:

Battery Management System, Battery States Estimate, Battery Fault Diagnosis, Battery Uniformity, Cell Voltage Measurement

Abstract

Lithium-particle batteries have tracked down far reaching  utilization in buyer gadgets because of their high energy  thickness, high power thickness, broadened administration life,  and natural benevolence when contrasted with other generally  utilized batteries. Lithium-molecule batteries for vehicles, on  the other hand, have a high cutoff and huge consecutive  equivalent numbers, which, when gotten together with issues  like prosperity, strength, consistency, and cost, confines the  usage of lithium-molecule batteries in vehicles. The little space  in which lithium-molecule batteries may work safely and  reliably requires powerful battery the leaders structure control  and association. This paper gives a short preamble to the  sythesis of the battery the board structure (BMS) and its  essential issues of dispute, for instance, battery cell voltage  assessment, battery states evaluation, battery consistency and  evening out, battery deficiency assurance, and so forth,  considering composing examination and our practical  knowledge, with assumptions for giving some inspiration to  future investigation. 

Downloads

Download data is not yet available.

References

. Takami N, Inagaki H, Tatebayashi Y, Saruwatari H, Honda K, Egusa S. High-power and long-life lithium-ion batteries using lithium titanium oxide anode for automotive and stationary power applications. J Power Sources. 2013;

. Farmann A, Sauer DU. A comprehensive review of on board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles. Journal of Power Sources. 2016.

. Saw LH, Poon HM, Thiam HS, Cai Z, Chong WT, Pambudi NA, et al. Novel thermal management system using mist cooling for lithium-ion battery packs. Appl Energy. 2018;

. Farmann A, Waag W, Marongiu A, Sauer DU. Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles. J Power Sources. 2015;

. Velho R, Beirão M, Do Rosário Calado M, Pombo J, Fermeiro J, Mariano S. Management system for large li ion battery packs with a new adaptive multistage charging method. Energies. 2017;

. Nieto N, Díaz L, Gastelurrutia J, Blanco F, Ramos JC, Rivas A. Novel thermal management system design methodology for power lithium-ion battery. J Power Sources. 2014;

. Zhao J, Rao Z, Huo Y, Liu X, Li Y. Thermal management of cylindrical power battery module for extending the life of new energy electric vehicles. Appl Therm Eng. 2015;

. Ouyang M, Zhang M, Feng X, Lu L, Li J, He X, et al. Internal short circuit detection for battery pack using equivalent parameter and consistency method. J Power Sources. 2015;

. Wang X, Li M, Liu Y, Sun W, Song X, Zhang J. Surrogate based multidisciplinary design optimization of lithium-ion battery thermal management system in electric vehicles. Struct Multidiscip Optim. 2017;

. Li J, Greye B, Buchholz M, Danzer MA. Interval method for an efficient state of charge and capacity estimation of multicell batteries. J Energy Storage. 2017;

Downloads

Published

2021-11-30

How to Cite

Lithium-Ion Battery Management in Electric Vehicles: A Review . (2021). International Journal of Innovative Research in Engineering & Management, 8(6), 394–397. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11551