2019
DOI: 10.1016/j.rser.2019.109254
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Abstract: Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for durable electric vehicles. Early detection of inadequate performance facilitates timely maintenance of battery systems. This reduces operational costs and prevents accidents and malfunctions. Recent advancements in "Big Data" analytics and related statistical/computational tools raised interest in data-driven battery health estimation.Here, we will review these in view of their feasibility and cost-effectiveness in deal… Show more

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Cited by 624 publications
(237 citation statements)
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References 138 publications
(167 reference statements)
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“…where C curr is the capacity of the battery in its current state, C full is the capacity of the battery in its fully charged state, C nom is the nominal capacity of the brand-new battery 2 .…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…where C curr is the capacity of the battery in its current state, C full is the capacity of the battery in its fully charged state, C nom is the nominal capacity of the brand-new battery 2 .…”
mentioning
confidence: 99%
“…By convention, SOC is 100% when the battery is fully charged and 0% when it is empty, while SOH is 100% at the time of manufacture and reaches 80% at end of life (EOL). In the battery manufacturing industry, EOL is often defined as the point at which the actual capacity at full charge drops to 80% of its nominal value 2 . The remaining number of charge/discharge cycles until the battery reaches EOL is the RUL of the battery.…”
mentioning
confidence: 99%
“…Advances in lithium‐ion battery technology make it ubiquitous in battery powered devices, ranging from electric terrestrial and aerial vehicles to consumer electronics. Therefore, battery health assessment becomes a crucial problem in providing safety and reliability of the system 1,2 …”
Section: Introductionmentioning
confidence: 99%
“…To be more than incremental, such improvement could take the form of disruptive battery technologies [2,3] and, equally as important, the form of improved battery management systems with innovative control strategies to enable more efficient and safer battery packs. The latter topic is attracting enormous amount a research and a wide variety of algorithms have been proposed in recent years [4][5][6][7][8] for state-of-charge (SOC) and state-of-health (SOH) tracking. For all these studies, there is a dire need for experimental validation so that the effectiveness of the proposed methodology can be demonstrated.…”
Section: Introductionmentioning
confidence: 99%