Co-optimization of speed trajectory and power management for a fuel-cell/battery electric vehicle
With the advent of vehicle connectivity via intelligent transportation systems, the
simultaneous optimization of powertrain operation and vehicle dynamics has become an …
simultaneous optimization of powertrain operation and vehicle dynamics has become an …
Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous …
Adapting to the instantaneous disturbance in the driving environment and balancing the
optimality and computational efficiency of control algorithms are two major challenges for the …
optimality and computational efficiency of control algorithms are two major challenges for the …
Stochastically predictive co-optimization of the speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently
With inevitable random disturbance in traffic scenarios, electric vehicles (EVs) may face the
driving safety issue, while, if operated over cautiously, the frequent speed variation …
driving safety issue, while, if operated over cautiously, the frequent speed variation …
A Deep-Learning-Based Approach to Eco-Driving-Based Energy Management of Hybrid Electric Vehicles
SM Sotoudeh, B HomChaudhuri - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposes a deep-learning-based hierarchical control framework for eco-driving-
based energy management of connected and automated hybrid electric vehicles (HEVs) …
based energy management of connected and automated hybrid electric vehicles (HEVs) …
Powertrain Hybridization for Autonomous Vehicles: Fuel Efficiency Perspective in Mixed Autonomy Traffic
Today's hybrid electric vehicles (HEVs) are designed with human drivers in mind, therefore,
they may not be the optimal choice for future autonomous vehicles (AVs), which can …
they may not be the optimal choice for future autonomous vehicles (AVs), which can …
An iterative and hierarchical approach to co-optimizing the velocity profile and power-split of plug-in hybrid electric vehicles
This paper investigates the additional fuel economy benefits with the direct fuel consumption
minimization by co-optimizing the vehicle-following and the hybrid powertrain subsystem in …
minimization by co-optimizing the vehicle-following and the hybrid powertrain subsystem in …
Net Hydrogen Consumption Minimization of Fuel Cell Hybrid Trains Using a Time-Based Co-Optimization Model
With increasing concerns on transportation decarbonization, fuel cell hybrid trains (FCHTs)
attract many attentions due to their zero carbon emissions during operation. Since fuel cells …
attract many attentions due to their zero carbon emissions during operation. Since fuel cells …
Co-optimization of velocity and charge-depletion for plug-in hybrid electric vehicles: Accounting for acceleration and jerk constraints
Recent advances in vehicle connectivity and automation technologies promote advanced
control algorithms that co-optimize the longitudinal dynamics and powertrain operation of …
control algorithms that co-optimize the longitudinal dynamics and powertrain operation of …
Hybrid railway vehicle trajectory optimisation using a non‐convex function and evolutionary hybrid forecast algorithm
This paper introduces a novel optimisation algorithm for hybrid railway vehicles, combining
a non‐linear programming solver with the highly efficient “Mayfly Algorithm” to address a …
a non‐linear programming solver with the highly efficient “Mayfly Algorithm” to address a …
A receding-horizon framework for co-optimizing the velocity and power-split of automated plug-in hybrid electric vehicles
This paper presents a control framework to co-optimize the velocity and power-split
operation of a plug-in hybrid vehicle (PHEV) online in the presence of traffic constraints. The …
operation of a plug-in hybrid vehicle (PHEV) online in the presence of traffic constraints. The …