A comprehensive review on classification, energy management strategy, and control algorithm for hybrid electric vehicles

Q Xue, X Zhang, T Teng, J Zhang, Z Feng, Q Lv - Energies, 2020 - mdpi.com
The energy management strategy (EMS) and control algorithm of a hybrid electric vehicle
(HEV) directly determine its energy efficiency, control effect, and system reliability. For a …

[图书][B] Modern electric, hybrid electric, and fuel cell vehicles

M Ehsani, Y Gao, S Longo, K Ebrahimi - 2018 - taylorfrancis.com
" This book is an introduction to automotive technology, with specic reference to battery
electric, hybrid electric, and fuel cell electric vehicles. It could serve electrical engineers who …

[HTML][HTML] Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network …

K Song, F Li, X Hu, L He, W Niu, S Lu, T Zhang - Journal of Power Sources, 2018 - Elsevier
The development of fuel cell electric vehicles can to a certain extent alleviate worldwide
energy and environmental issues. While a single energy management strategy cannot meet …

A Q-learning fuzzy inference system based online energy management strategy for off-road hybrid electric vehicles

L Bo, L Han, C Xiang, H Liu, T Ma - Energy, 2022 - Elsevier
In this paper, a Q-learning fuzzy inference system (QLFIS)-based online control architecture
is proposed and applied for the optimal control of off-road hybrid electric vehicles (HEVs) to …

Threshold-changing control strategy for series hybrid electric vehicles

W Shabbir, SA Evangelou - Applied energy, 2019 - Elsevier
This paper proposes a new set of design principles to classify and design rule-based control
strategies for the powertrain energy management of series hybrid electric vehicles. The …

Series hybrid electric vehicle simultaneous energy management and driving speed optimization

B Chen, SA Evangelou, R Lot - IEEE/ASME Transactions on …, 2019 - ieeexplore.ieee.org
The energy management (EM) and driving speed co-optimization of a series hybrid electric
vehicle for minimizing fuel consumption is addressed in this paper on the basis of a suitably …

[HTML][HTML] A model predictive control scheme for regenerative braking in vehicles with hybridized architectures via aftermarket kits

V Mariani, G Rizzo, FA Tiano, L Glielmo - Control Engineering Practice, 2022 - Elsevier
Regenerative braking is an established technique that can improve the driving range of
vehicles with full-electric or hybrid/hybridized powertrain, thus promoting their large-scale …

Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi‐islandgenetic algorithm

Z Zhao, T Wang, M Li, H Wang… - Energy Science & …, 2021 - Wiley Online Library
Energy storage system can be used to increase the fuel economy of fuel cell system (FCS).
In this study, a new method was introduced for optimizing the energy management strategy …

Torque-leveling threshold-changing rule-based control for parallel hybrid electric vehicles

X Li, SA Evangelou - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
A novel rule-based control strategy is proposed for the energy management of parallel
hybrid electric vehicles (HEVs): the torque-leveling threshold-changing strategy (TTS). In …

Study of the control algorithm of the braking system of an autonomous haul truck braking system with the use of imitational models

D Dubinkin, A Kartashov, A Muraviev… - E3S Web of …, 2021 - e3s-conferences.org
The paper considers different ways of controlling the braking systems of haul trucks. The
general approaches used in the development of control systems for such braking systems …