A Battery State of Health Prediction Framework Considering User Behavior for On-road Electric Vehicles
Author:
Affiliation:
1. ShanghaiTech University,Shanghai,China
2. Monitoring, and Research Center,Shanghai Electric Vehicle Public Data Collecting,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10598816/10598836/10598855.pdf?arnumber=10598855
Reference12 articles.
1. Battery Lifetime Prognostics
2. Data-driven prediction of battery cycle life before capacity degradation
3. Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
4. Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles
5. Simulation and Analysis of the Effect of Real-World Driving Styles in an EV Battery Performance and Aging
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