Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Exponential Model and Particle Filter

Zhang, Lijun; Mu, Zhongqiang; Sun, Changyin

doi:10.1109/access.2018.2816684

Cited by 193 publications

(90 citation statements)

References 37 publications

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“…RUL: RUL is the remaining time or number of load cycles that the battery has during which it will be able to meet its operating requirements [6,7,37], or it is simply the length of time from the present time to the end of life [38]. RUL has attracted major emphasis in research and manufacturing vehicles' BMS so as to meet the requirement of reduced costs, increased accuracy and reliability, and avoidance of catastrophic failure.…”

Section: Battery Terminologiesmentioning

confidence: 99%

“…The consequences of battery failure can lead to catastrophes and inconveniences, which have turned to be popular and challenging issues [5], as reliability of LIBs is yet to be improved. However, determining the remaining useful life (RUL) of LIBs can aid to some level in curbing this problem [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…The BMS contains a set of activities that monitor and perform SOH, SOC, state-of-life (SOL), end-of-life (EOL), and state-of-power (SOP) estimation throughout the battery's entire life, and make a suitable decision to predict RUL. Thus, the BMS for LIBs is a decision process to intelligently perform maintenance, logistics, and system configuration activities on the basis of diagnostic and/or prognostics with the aim of producing actionable information to enable timely decisions [14] on maintenance optimization support, and reduce the costs of maintenance [7]. The BMS, therefore, implements state monitoring and evaluation, charge control, and cell balancing functionalities in order to maintain the safety and reliability of batteries [15].…”

Section: Introductionmentioning

confidence: 99%

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Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

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The battery is the most ideal power source of the twenty-first century, and has a bright future in many applications, such as portable consumer electronics, electric vehicles (EVs), military and aerospace systems, and power storage for renewable energy sources, because of its many advantages that make it the most promising technology. EVs are viewed as one of the novel solutions to land transport systems, as they reduce overdependence on fossil energy. With the current growth of EVs, it calls for innovative ways of supplementing EVs power, as overdependence on electric power may add to expensive loads on the power grid. However lithium-ion batteries (LIBs) for EVs have high capacity, and large serial/parallel numbers, when coupled with problems like safety, durability, uniformity, and cost imposes limitations on the wide application of lithium-ion batteries in EVs. These LIBs face a major challenge of battery life, which research has shown can be extended by cell balancing. The common areas under which these batteries operate with safety and reliability require the effective control and management of battery health systems. A great deal of research is being carried out to see that this technology does not lead to failure in the applications, as its failure may lead to catastrophes or lessen performance. This paper, through an analytical review of the literature, gives a brief introduction to battery management system (BMS), opportunities, and challenges, and provides a future research agenda on battery health management. With issues raised in this review paper, further exploration is essential.

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Section: Battery Terminologiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

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“…To estimate market share in future period, this study used Equation (6). The calculation result is shown in the following matrices and Table 4.…”

Section: Market Share Predictionmentioning

confidence: 99%

“…The lithium battery is one of the promising electrochemical battery system technologies, with high power and energy densities characteristics, increasing the demand for alternative sources of energy [5][6][7][8]. Since the introduction of the lithium type battery, many manufacturers and scientists have tried to improve the performance and utilization of lithium battery [9].…”

Section: Introductionmentioning

confidence: 99%

Markov Chain and Techno-Economic Analysis to Identify the Commercial Potential of New Technology: A Case Study of Motorcycle in Surakarta, Indonesia

2018

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LiFePhO4 (lithium iron phosphate) batteries, with their advantages compared to common current motorcycle batteries, are considered as an alternative in substituting wet and dry cell battery. The huge demand for motorcycles along with their batteries in Indonesia also make them an interesting product for business. To assess the commercial potential for such a new technology, market share needs to be estimated as well as the techno-economic feasibility. Hence, market share prediction using the residents of Surakarta Region and techno-economic analysis using Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP) indicators were conducted in this study. Calculations using Markov chain method show that lithium iron phosphate batteries tend to dominate the market after certain period. Techno-economic analysis also finds that the commercialization is feasible in three conditions: first mover, even with market leader and equilibrium point. Therefore, there is a great commercial potential for lithium iron phosphate batteries, especially in Indonesia.

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Intelligent Predictive Maintenance (IPM)

Chiu¹,

Hsieh²,

Lin³

et al. 2021

Industry 4.1

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Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Exponential Model and Particle Filter

Cited by 193 publications

References 37 publications

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

Markov Chain and Techno-Economic Analysis to Identify the Commercial Potential of New Technology: A Case Study of Motorcycle in Surakarta, Indonesia

Intelligent Predictive Maintenance (IPM)

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