Identifying and assessing research gaps for energy efficient control of electrified autonomous vehicle Eco-Driving
The development of novel vehicle control systems that improve Fuel Economy (FE) is of
significant interest, owing to the economic, environmental, and social implications of …
significant interest, owing to the economic, environmental, and social implications of …
Robust model-predictive thermal control of lithium-ion batteries under drive cycle uncertainty
The exposure of electric vehicle batteries to rapid charging and discharging profiles,
particularly under uncertainty in the drive schedules, requires effective strategies to forecast …
particularly under uncertainty in the drive schedules, requires effective strategies to forecast …
[HTML][HTML] Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles
Reducing emissions and energy consumption of autonomous vehicles is critical in the
modern era. This paper presents an intelligent energy management system based on …
modern era. This paper presents an intelligent energy management system based on …
An energy management strategy of deep reinforcement learning based on multi-agent architecture under self-generating conditions
C Chang, W Zhao, C Wang, Z Luan - Energy, 2023 - Elsevier
To improve the driving efficiency of hybrid power vehicle, an energy management strategy of
deep reinforcement learning based on multi-agent architecture under self-generating …
deep reinforcement learning based on multi-agent architecture under self-generating …
Driveability Constrained Models for Optimal Control of Hybrid Electric Vehicles
F Miretti, D Misul - … Workshop IFToMM for Sustainable Development Goals, 2023 - Springer
This work investigates the effect of three different driveability constraints on the optimal
energy management strategy for a p2 parallel hybrid. Two of these constraints are used to …
energy management strategy for a p2 parallel hybrid. Two of these constraints are used to …
Rule-Based Energy Supervisory in Racing Hybrid-Electric Powertrain for Minimizing the Racetrack Time
A Campanini, M Simonazzi, F Peirano… - IEEE EUROCON 2023 …, 2023 - ieeexplore.ieee.org
The work presented in this paper proposes an innovative energy management approach for
hybrid-electric powertrain for optimizing the power exchange among multiple energy …
hybrid-electric powertrain for optimizing the power exchange among multiple energy …
Time-optimal Design and Control of Electric Race Cars Equipped with Multi-speed Transmissions
C Cartignij, M Salazar - 2023 IEEE Vehicle Power and …, 2023 - ieeexplore.ieee.org
This paper presents a framework to jointly optimize the design and control of an electric race
car equipped with a multiple-gear transmission (MGT), specifically accounting for discrete …
car equipped with a multiple-gear transmission (MGT), specifically accounting for discrete …
Vehicle energy management system and related methods
TJ Healy, W Sa, M Culbertson, E Schmidt… - US Patent …, 2023 - Google Patents
US11766951B2 - Vehicle energy management system and related methods - Google
Patents US11766951B2 - Vehicle energy management system and related methods …
Patents US11766951B2 - Vehicle energy management system and related methods …
[图书][B] Enabling Energy Efficiency in Connected and Automated Vehicles through Predictive Control Techniques
F Motallebiaraghi - 2023 - search.proquest.com
The transportation sector is a significant contributor to global energy consumption and
emissions, necessitating the development of sustainable transportation systems. In this …
emissions, necessitating the development of sustainable transportation systems. In this …
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems: Predictive Control During Acceleration Events to Improve Fuel Economy
S White, A Rabinowitz, CC Ang, D Trinko… - Machine Learning and …, 2023 - Springer
The increasing sensing and computational capacities of vehicles enable novel opportunities
for optimal control strategies, including powertrain control strategies to improve fuel …
for optimal control strategies, including powertrain control strategies to improve fuel …