An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles

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Publication Details

Journal
International Journal of Mathematical Modelling and Numerical Optimisation
Published
2025-09-23
DOI
https://doi.org/10.1504/ijmmno.2026.10073644
Primary Topic
Synthesis and biological activity
Type
article
Field-Weighted Citation Impact
0.00
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article

An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles

International Journal of Mathematical Modelling and Numerical Optimisation
Synthesis and biological activity
article

An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles

article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Mathematical Modelling and Numerical OptimisationVol. 1(1)
Affordable and clean energy
Openalex Percentile: Top 47%
Synthesis and biological activity
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An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles · International Journal of Mathematical Modelling and Numerical Optimisation (2025) | TGRS Research Map | TGRS