Adaptive hierarchical smoothing strategy and fuzzy logic-based torque vectoring algorithm for comfort and propulsion optimization in over-actuated hybrid electric vehicles
This paper introduces a novel control strategy aimed at optimizing both driving comfort and propulsion power in Hybrid Electric Vehicles (HEVs). The strategy is built upon two key innovations: an Adaptive Hierarchical Smoothing Strategy (AHSS) to mitigate transient disturbances during power source a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025023618 |
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| Summary: | This paper introduces a novel control strategy aimed at optimizing both driving comfort and propulsion power in Hybrid Electric Vehicles (HEVs). The strategy is built upon two key innovations: an Adaptive Hierarchical Smoothing Strategy (AHSS) to mitigate transient disturbances during power source and drive mode transitions, and a fuzzy logic-based torque vectoring algorithm to maximize propulsion efficiency by dynamically distributing torque across one or two permanent magnet synchronous machines (PMSMs). The HEV is powered by a fuel cell (FC) and supercapacitor (SC), with an Energy Management System (EMS) that operates the FC at user-defined operating points to extend vehicle autonomy. Simulations show that the torque vectoring approach optimizes propulsion by efficiently distributing electromagnetic torque to enhance tractive force. Furthermore, the AHSS reduces mechanical and electrical stresses during transient operations, enhancing driving comfort and prolonging power source life. The strategy also ensures smooth commutations between single and dual traction modes, preventing torque ripples that could destabilize the system. Real-time validation using the OPAL-RT simulation platform confirms the practicality of the proposed control approach, highlighting improvements in torque ripples, voltage fluctuations, and power management. |
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| ISSN: | 2590-1230 |