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Reliability assessment and lifetime prediction of Li-ion batteries for electric vehicles
- Source :
- Electrical Engineering. 104:165-177
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Environmental climate change has encouraged countries across the world to develop policies aimed to the reduction in energy consumption and greenhouse gas emissions. The introduction of Zero-Emission Vehicles based on electrical powertrains, could reduce the emission of environmental pollutants, the noise levels and could increase the liveability of urban areas. Although in recent years research on batteries has brought several benefits to electric vehicle performance, key barriers to their adoption are still high cost, reduced autonomy, long charging times and the leak of a suitable network of charging stations. Substantial improvements in electric vehicles performance are expected with the development of new Li-ion batteries, thanks to some notable advantages over other types of batteries, such as: high energy density, high power density, long cycle life and long calendar life. This paper is aimed to present a reliability assessment procedure based on an ageing model able to estimate from datasheet information the lifetime of Lithium-ion batteries for electric vehicles, the residual capacity and reliability margins under different driving cycles, taking also into account the battery calendar ageing.
- Subjects :
- Battery (electricity)
business.product_category
Electric vehicles
Powertrain
020209 energy
Applied Mathematics
Lifespan prediction
020208 electrical & electronic engineering
Li-ion batteries
02 engineering and technology
Energy consumption
Automotive engineering
Noise
Greenhouse gas
Electric vehicle
0202 electrical engineering, electronic engineering, information engineering
Environmental science
Electrical and Electronic Engineering
business
Datasheet
Reliability (statistics)
Subjects
Details
- ISSN :
- 14320487 and 09487921
- Volume :
- 104
- Database :
- OpenAIRE
- Journal :
- Electrical Engineering
- Accession number :
- edsair.doi.dedup.....c939e25c8f8e911d61aa859c4c79a4c8