Review on braking energy management in electric vehicles

V Vodovozov, Z Raud, E Petlenkov - Energies, 2021 - mdpi.com
The adoption of electric vehicles promises numerous benefits for modern society. At the
same time, there remain significant hurdles to their wide distribution, primarily related to …

A survey of brake-by-wire system for intelligent connected electric vehicles

B Meng, F Yang, J Liu, Y Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global
automotive industry to make transportation safer, cleaner and more comfortable. As an …

Active vehicle suspension control using road preview model predictive control and radial basis function networks

M Papadimitrakis, A Alexandridis - Applied Soft Computing, 2022 - Elsevier
Active suspension systems in road vehicles are applied in order to mitigate the road-induced
chassis vertical accelerations more effectively than standard passive suspensions, thus …

A new control algorithm of regenerative braking management for energy efficiency and safety enhancement of electric vehicles

AH Salari, H Mirzaeinejad, MF Mahani - Energy Conversion and …, 2023 - Elsevier
A new generation of electric vehicles with in-wheel motor technology has been introduced
and developed. Increasing system efficiency, eliminating mechanical intermediaries, and …

Predicting oil flow rate through orifice plate with robust machine learning algorithms

ARB Abad, PS Tehrani, M Naveshki, H Ghorbani… - Flow Measurement and …, 2021 - Elsevier
Measuring fluid flow rate passing through pipelines is a basic strategy for developing the
infrastructure of fluid-dependent industries. It is a challenging issue for trade, transportation …

Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural …

L Shang, H Nguyen, XN Bui, TH Vu, R Costache… - Acta Geotechnica, 2022 - Springer
This study aims to propose state-of-the-art techniques in predicting and controlling slope
stability in open-pit mines based on limit equilibrium analysis, artificial neural networks, and …

[HTML][HTML] COVID-based controller: Enhancing automotive safety with a neuroadaptive beta-function optimization for anti-lock braking systems

M Shirzadeh, A Amirkhani - Engineering Science and Technology, an …, 2024 - Elsevier
Controlling wheel slip during braking in vehicle tires is a challenging task due to the
complex behavior and highly nonlinear dynamics involved. Uncertainties arising from …

An indirect type-2 fuzzy neural network optimized by the grasshopper algorithm for vehicle ABS controller

A Amirkhani, M Shirzadeh, M Molaie - IEEE Access, 2022 - ieeexplore.ieee.org
Model nonlinearity, structured and unstructured uncertainties as well as external
disturbances are some of the most important challenges in controlling the wheel slip in …

Fuzzy controllers of antilock braking system: a review

A Amirkhani, M Molaie - International Journal of Fuzzy Systems, 2023 - Springer
This paper provides a review of the common fuzzy system-based controllers as one of the
most powerful approaches in the control problem of antilock braking systems (ABSs) which …

Optimization-based nonlinear control laws with increased robustness for trajectory tracking of non-holonomic wheeled mobile robots

H Mirzaeinejad - Transportation Research Part C: Emerging …, 2019 - Elsevier
This paper presents the integration of kinematic and dynamic trajectory tracking control
problem for non-holonomic wheeled mobile robots (WMRs) in the presence of model …