Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning

Original language	English
Article number	100532
Journal	eTransportation
Volume	27
DOIs	https://doi.org/10.1016/j.etran.2025.100532
State	Published - Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

1. 
   SDG 9 Industry, Innovation, and Infrastructure

Keywords

• Deterministic and uncertain scenarios
• Fuel cell hybrid powertrain
• Multi-objective constraint rules
• Online energy management method
• Operational costs
• Soft actor-critic

Other files and links

• Link to publication in Scopus

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Dive into the research topics of 'Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning'. Together they form a unique fingerprint.

• Energy Management Engineering 100%
• Fuel Cell Hybrid Engineering 100%
• Operating Cost Engineering 60%
• Reinforcement Learning Engineering 40%
• Driving Cycle Engineering 40%
• Power Allocation Engineering 20%
• Flux Density Engineering 20%
• Power Density Engineering 20%

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Hu, B., Qu, Z., Zhang, J., & Ming, P. (2026). Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning. eTransportation, 27, Article 100532. https://doi.org/10.1016/j.etran.2025.100532

Hu, Baobao ; Qu, Zhiguo ; Zhang, Jianfei et al. / Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning. In: eTransportation. 2026 ; Vol. 27.

Hu, B, Qu, Z, Zhang, J & Ming, P 2026, 'Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning', eTransportation, vol. 27, 100532. https://doi.org/10.1016/j.etran.2025.100532

Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning. / Hu, Baobao; Qu, Zhiguo; Zhang, Jianfei et al.
In: eTransportation, Vol. 27, 100532, 01.2026.

Research output: Contribution to journal › Article › peer-review

Hu B, Qu Z, Zhang J, Ming P. Online energy management strategy for fuel cell hybrid powertrain based on multi-objective constraint rules embedded in soft actor-critic learning. eTransportation. 2026 Jan;27:100532. doi: 10.1016/j.etran.2025.100532