Novel active LiFePO4 battery balancing method based on chargeable and dischargeable capacity

Cui, Xiudong; Shen, Weixiang; Zhang, Yunlei; Hu, Cungang; Zheng, Jinchuan

doi:10.1016/j.compchemeng.2016.11.014

Cited by 48 publications

(17 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where n is the number of switching cycles. Equation (31) shows that the balancing time during battery charging is proportional to the battery capacity and the SOC deviation and inversely proportional to the inductance, which can guide the determination of the inductance and switching frequency.…”

Section: Balancing Strategymentioning

confidence: 99%

“…The accuracy and real‐time performance of battery SOC estimation is no longer a problem, which is beneficial to the implementation of this balancing method. The capacity‐based balancing method is to maximize the capacity of the battery pack and separately control the capacity of the battery cells below the average capacity and the battery cells above the average capacity . The capacity‐based balancing method can reduce the balancing time.…”

Section: Introductionmentioning

confidence: 99%

“…The capacity-based balancing method is to maximize the capacity of the battery pack and separately control the capacity of the battery cells below the average capacity and the battery cells above the average capacity. 30,31 The capacity-based balancing method can reduce the balancing time. However, how to accurately quantify the battery capacity is a problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Active cell balancing of lithium‐ion battery pack based on average state of charge

Zhang

et al. 2020

Int J Energy Res

View full text Add to dashboard Cite

Summary Differences in the environment and parameters of lithium‐ion battery (LiB) cells may lead the residual capacity between the battery cells to be inconsistent, and the battery cells may be damaged due to overcharging or overdischarging. In this study, an active balancing method for charging and discharging of LiB pack based on average state of charge (SOC) is proposed. Two different active balancing strategies are developed according to the different charging and discharging states of LiB pack. When the LiB pack is charging, charging balance strategy is performed, wherein the battery cells whose SOC is higher than the average SOC of the LiB pack are balanced to increase the charging capacity of the entire LiB pack. When the LiB pack is discharging or static standing, discharging balance strategy is performed, wherein the batter cells whose SOC is lower than the average SOC of the LiB pack are balanced to increase the discharging capacity of the entire LiB pack. The experimental results show that the proposed active balancing method can reduce the inconsistency of residual energy between the battery cells and improve the charging and discharging capacity of the LiB pack.

show abstract

Section: Balancing Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active cell balancing of lithium‐ion battery pack based on average state of charge

Zhang

et al. 2020

Int J Energy Res

View full text Add to dashboard Cite

show abstract

“…Furthermore, according to the battery voltage curve, a fuzzy logic DCE algorithm was used to reduce the battery pack capacity deviation effectively. In contrast, an active equalization approach on the basis of the available capacity of the battery was proposed to in Cui et al, which was derived from the state space equation established by the second‐order ECM. And a feedback balancing circuit was selected to modify the topology structure.…”

Section: Model‐based Bms Applicationmentioning

confidence: 99%

A review on battery management system from the modeling efforts to its multiapplication and integration

2019

View full text Add to dashboard Cite

Summary Progress in battery technology accelerates the transition of battery management system (BMS) from a mere monitoring unit to a multifunction integrated one. It is necessary to establish a battery model for the implementation of BMS's effective control. With more comprehensive and faster battery model, it would be accurate and effective to reflect the behavior of the battery level to the vehicle. On this basis, to ensure battery safety, power, and durability, some key technologies based on the model are advanced, such as battery state estimation, energy equalization, thermal management, and fault diagnosis. Besides, the communication of interactions between BMS and vehicle controllers, motor controllers, etc is an essential consideration for optimizing driving and improving vehicle performance. As concluded, a synergistic and collaborative BMS is the foundation for green‐energy vehicles to be intelligent, electric, networked, and shared. Thus, this paper reviews the research and development (R&D) of multiphysics model simulation and multifunction integrated BMS technology. In addition, summary of the relevant research and state‐of‐the‐art technology is dedicated to improving the synergy and coordination of BMS and to promote the innovation and optimization of new energy vehicle technology.

show abstract

“…On the other hand, active cell balancing method agree to collect or allocate energy from higher ones to lower ones. Consequently, active charge balancing method can decline the power losses and battery cooling necessities [7], [8]. Typically, Open circuit voltage (OCV), terminal voltage and SOC are chosen as a parameter of charge equalization technique.…”

Section: Introductionmentioning

confidence: 99%

Active Cell Balancing Control Method for Series-Connected Lithium-Ion Battery

Qays¹,

Buswig²,

Anyi³

2019

IJITEE

View full text Add to dashboard Cite

Power conveyance potentiality for series and parallel allied battery-packages are constrained by the wickedest cell of the string. Every cell contains marginally dissimilar capability and terminal voltage because of industrialized acceptances and functional situations. During charging or discharging progression, the charge status of the cell strings become imbalanced and incline to loss equalization. Therefore, the enthusiasm of this paper is to design an active charge balancing system for Lithium-ion battery pack with the help of online state of charge (SOC) estimation technique. A Battery Management System (BMS) is modeled by means of controlling the SOC of the cells to upsurge the efficacy of rechargeable batteries. The capacity of each cell is calculated by dint of SOC function estimated as a result of Backpropagation Neural Network (BPNN) algorithm through four switched DC/DC Buck-Boost converter. The simulation results confirm that the designed BMS can synchronize the cell equalization via curtailing the SOC estimation error (RMSE 1.20%) productively.

show abstract

Novel active LiFePO4 battery balancing method based on chargeable and dischargeable capacity

Cited by 48 publications

References 28 publications

Active cell balancing of lithium‐ion battery pack based on average state of charge

Active cell balancing of lithium‐ion battery pack based on average state of charge

A review on battery management system from the modeling efforts to its multiapplication and integration

Active Cell Balancing Control Method for Series-Connected Lithium-Ion Battery

Contact Info

Product

Resources

About