Home ›
Entities
› academia
› Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application
Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 26× · AI/ML
Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application
Summary
Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application is a scholarly article[1].
Key Facts
Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-power-split-of-hybrid-energy-storage-system-using-pontryagins-minimum-principle-and-deep-reinforcement-learning-
MLA“Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-power-split-of-hybrid-energy-storage-system-using-pontryagins-minimum-principle-and-deep-reinforcement-learning-.
BibTeX@misc{4ortxyz_optimal-power-split-of-hybrid-energy-storage-system-using-pontryagins-minimum-principle-and-deep-reinforcement-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-power-split-of-hybrid-energy-storage-system-using-pontryagins-minimum-principle-and-deep-reinforcement-learning-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal power-split of hybrid energy storage system using Pontryagin’s minimum principle and deep reinforcement learning approach for electric vehicle application — https://4ort.xyz/entity/optimal-power-split-of-hybrid-energy-storage-system-using-pontryagins-minimum-principle-and-deep-reinforcement-learning- (retrieved 2026-05-24)
