Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

N Qi, K Yan, Y Yu, R Li, R Huang, L Chen, Y Su - Frontiers in Energy, 2024 - Springer
As the intersection of disciplines deepens, the field of battery modeling is increasingly
employing various artificial intelligence (AI) approaches to improve the efficiency of battery …

Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction

J Jia, S Yuan, Y Shi, J Wen, X Pang, J Zeng - Iscience, 2022 - cell.com
Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important
role in improving the performance and assuring the safe operation of the battery energy …

Enhanced coulomb counting method for SoC and SoH estimation based on coulombic efficiency

J Lee, J Won - IEEE Access, 2023 - ieeexplore.ieee.org
The battery performance decreases as the charging/discharging cycles increase. Thus, a
battery management system (BMS) is essential to properly estimating the battery states. In …

A novel graph-based framework for state of health prediction of lithium-ion battery

XY Yao, G Chen, M Pecht, B Chen - Journal of Energy Storage, 2023 - Elsevier
State of health (SOH) plays a vital role in lithium-ion batteries (LIBs) safety, reliability and
lifetime. Health indicators (HIs) are a powerful approach to predict battery SOH. The existing …

Online state-of-health estimation of lithium-ion battery based on relevance vector machine with dynamic integration

Z Chen, S Zhang, N Shi, F Li, Y Wang, J Cui - Applied Soft Computing, 2022 - Elsevier
The lithium-ion battery's state of health (SOH) is one of the essential parameters of the
battery management system. An accurate state of health estimation of the battery pack helps …

State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer

C Jia, Y Tian, Y Shi, J Jia, J Wen, J Zeng - Energy, 2023 - Elsevier
Lithium-ion batteries have been widely used in various aspects of our lives, playing a crucial
role in numerous applications. The state of health (SOH) serves as a pivotal indicator, and …

Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends

Z Lyu, L Wu, M Lyu, J Yang, X Li - Journal of Energy Storage, 2024 - Elsevier
Ensuring the reliable and safe operation of Electric Vehicles (EVs) necessitates precise
monitoring of the State of Health (SOH) of their lithium-ion batteries. However, accurately …

Battery management system algorithm for energy storage systems considering battery efficiency

J Lee, JM Kim, J Yi, CY Won - Electronics, 2021 - mdpi.com
Aging increases the internal resistance of a battery and reduces its capacity; therefore,
energy storage systems (ESSs) require a battery management system (BMS) algorithm that …

A multi-model feature fusion model for lithium-ion battery state of health prediction

XY Yao, G Chen, L Hu, M Pecht - Journal of Energy Storage, 2022 - Elsevier
State of health (SOH) prediction is key to battery health management and safety. Health
indicators (HIs) are effective and feasible to predict battery SOH. The existing approaches …

Stochastic hybrid system approach to task-orientated remaining useful life prediction under time-varying operating conditions

J Long, C Chen, Z Liu, J Guo, W Chen - Reliability Engineering & System …, 2022 - Elsevier
Mechanical components mainly work under time-varying operating conditions, causing
considerable complexity and variability to degradation signals and making it difficult to …