Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge
Summary
Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge is a scholarly article[1].
Key Facts
Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-predictive-energy-management-for-plug-in-hybrid-electric-vehicles-considering-optimal-battery-depth-of-discharge
MLA“Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-predictive-energy-management-for-plug-in-hybrid-electric-vehicles-considering-optimal-battery-depth-of-discharge.
BibTeX@misc{4ortxyz_model-predictive-energy-management-for-plug-in-hybrid-electric-vehicles-considering-optimal-battery-depth-of-discharge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge}}, year = {2026}, url = {https://4ort.xyz/entity/model-predictive-energy-management-for-plug-in-hybrid-electric-vehicles-considering-optimal-battery-depth-of-discharge}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge — https://4ort.xyz/entity/model-predictive-energy-management-for-plug-in-hybrid-electric-vehicles-considering-optimal-battery-depth-of-discharge (retrieved 2026-05-24)
