DEVELOPING A METHOD FOR DETERMINING THE DECELERATION OF ELECTRIC AND HYBRID VEHICLES DURING BRAKING

A method for determining the deceleration of electric and hybrid vehicles during braking is proposed; its relevance is supported by post-2023 statistics (over 20 million electric cars sold worldwide in 2025; 122.7 thousand registered electric vehicles in Uzbekistan by 1 July 2026). Because braking force is shared between regenerative and friction brakes in a way that depends on battery state of charge, speed and control software, the method fuses inertial, GNSS, wheel-speed and CAN-bus data with a Kalman filter and splits the total deceleration into its regenerative and friction parts. Performance is demonstrated in a simulation study; full-scale road tests remain future work.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23800611
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
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article

DEVELOPING A METHOD FOR DETERMINING THE DECELERATION OF ELECTRIC AND HYBRID VEHICLES DURING BRAKING

K. Allabayev, A. Raxmonov
Zenodo (CERN European Organization for Nuclear Research)
Electric and Hybrid Vehicle Technologies
article

DEVELOPING A METHOD FOR DETERMINING THE DECELERATION OF ELECTRIC AND HYBRID VEHICLES DURING BRAKING

K. Allabayev, A. Raxmonov
article en

Abstract

A method for determining the deceleration of electric and hybrid vehicles during braking is proposed; its relevance is supported by post-2023 statistics (over 20 million electric cars sold worldwide in 2025; 122.7 thousand registered electric vehicles in Uzbekistan by 1 July 2026). Because braking force is shared between regenerative and friction brakes in a way that depends on battery state of charge, speed and control software, the method fuses inertial, GNSS, wheel-speed and CAN-bus data with a Kalman filter and splits the total deceleration into its regenerative and friction parts. Performance is demonstrated in a simulation study; full-scale road tests remain future work.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure, Sustainable cities and communities
Openalex Percentile: Top 23%
Electric and Hybrid Vehicle Technologies
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