Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles
By Søren Ebbesen, Philipp Elbert, Lino Guzzella. IEEE Transactions on Vehicular Technology, 2012
309 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/095eee796d17fe5b9551ca04bbfd199618244959
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In Automotive Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes (2015, unknown): “Recently, semi-empirical models have been also used for PHEV optimal energy management including battery aging [16,17] and for the study of aging propagation among cells in advanced battery systems [18].”
- Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control (2020, methodology): “The corresponding dynamic SOH model is thereby established as [52]”
- Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “Instead of minimizing only energy consumption, several authors have addressed also di ff erent optimization goals, such as pointwise powertrain e ffi ciency [106], drivability [107], pollutant emissions [63, 108], battery aging [109, 110, 111], driving cost [112, 113, 114, 115].”
- A control-oriented cycle-life model for hybrid electric vehicle lithium- ion batteries (2016, methodology): “[5], where the authors designed a HEV energy management strategy using the aging model from Ref.”
- Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks (2014, background): “Substantial research efforts have been carried out on the energy management of HEVs and PHEVs to improve fuel economy [4]–[6], [9]–[28] and to prolong battery life [14], [23] with or without the help of the GPS or a geographic information system (GIS) [29], [30].”