Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review
The worldwide drive towards low-carbon transportation has made Hybrid Electric Vehicles (HEVs) a crucial component of sustainable mobility, particularly in areas with limited charging infrastructure. The core of HEV efficiency lies in the Energy Management Strategy (EMS), which regulates the energy...
Saved in:
| Main Authors: | Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/14/3600 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Review of Hybrid Vehicles Classification and Their Energy Management Strategies: An Exploration of the Advantages of Genetic Algorithms
by: Yuede Pan, et al.
Published: (2025-06-01) -
Optimization of Energy Management Strategy for Plug-in Axle-split Hybrid Electric Vehicle
by: Du Changqing, et al.
Published: (2020-07-01) -
Research and Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles: A Review
by: Fan Wang, et al.
Published: (2025-05-01) -
Research on the Application of Reinforcement Learning in Hybrid Electric Vehicle Energy Management
by: ZHENG Chunhua, et al.
Published: (2020-08-01) -
Optimizing Fuel Economy in Hybrid Electric Vehicles Using the Equivalent Consumption Minimization Strategy Based on the Arithmetic Optimization Algorithm
by: Houssam Eddine Ghadbane, et al.
Published: (2025-05-01)