Real-time model predictive powertrain control for a connected plug-in hybrid electric vehicle

J Oncken, B Chen - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The continued development of connected and automated vehicle technologies presents the
opportunity to utilize these technologies for vehicle energy management. Leveraging this …

Integrated predictive powertrain control for a multimode plug-in hybrid electric vehicle

J Oncken, K Sachdeva, H Wang… - … /ASME Transactions on …, 2021 - ieeexplore.ieee.org
Due to the complexity of a multimode plug-in hybrid electric vehicle (PHEV) powertrain, the
energy management strategy of the said powertrain is a prime candidate for the application …

Next generation HEV powertrain design tools: roadmap and challenges

PG Anselma, G Belingardi - 2019 - sae.org
Hybrid electric vehicles (HEVs) represent a fundamental step in the global evolution towards
transportation electrification. Nevertheless, they exhibit a remarkably complex design …

Route-optimized energy management of connected and automated multi-mode plug-in hybrid electric vehicle using dynamic programming

N Rama, H Wang, J Orlando, D Robinette, B Chen - 2019 - sae.org
This paper presents a methodology to optimize the blending of charge-depleting (CD) and
chargesustaining (CS) modes in a multi-mode plug-in hybrid electric vehicle (PHEV) that …

A connected controls and optimization system for vehicle dynamics and powertrain operation on a light-duty plug-in multi-mode hybrid electric vehicle

J Oncken, J Orlando, PK Bhat, B Narodzonek… - 2020 - sae.org
This paper presents an overview of the connected controls and optimization system for
vehicle dynamics and powertrain operation on a light-duty plug-in multimode hybrid electric …

Neural-Network Based MPC for Enhanced Lateral Stability in Electric Vehicles

A Hassan, S Ruiz-Moreno, JRD Frejo… - IEEE …, 2024 - ieeexplore.ieee.org
Distributed electric drive vehicles offer maneuver-ability but face stability challenges under
different driving conditions. Model Predictive Control (MPC) algorithms can improve lateral …

Real-Time Implementable Reduced-Order Energy Model for an Electric Vehicle

V Goyal, AB Dudekula, K Stutenberg… - … International Journal of …, 2024 - sae.org
Accurate estimation of vehicle energy consumption plays an important role in developing
advanced energy-saving connected automated vehicle technologies such as Eco Approach …

VISION: Vehicle Infrared Signature Aware Off-Road Navigation

Y Lonari, J Naber, V Korivi, N Tison, P Rynes… - 2024 - sae.org
Vehicle navigation in off-road environments is challenging due to terrain uncertainty.
Various approaches that account for factors such as terrain trafficability, vehicle dynamics …

Route-Optimized Energy Usage for a Plug-in Hybrid Electric Vehicle Using Mode Blending

A Robare, A Poovalappil, M Bahramgiri, D Robinette… - 2024 - sae.org
This paper presents a methodology to optimize the blending of charge-depleting (CD) and
chargesustaining (CS) modes in a multi-mode plug-in hybrid electric vehicle (PHEV). The …

Development and Validation of Dynamic Programming based Eco Approach and Departure Algorithm

V Goyal, AB Dudekula, J Naber - 2024 - sae.org
Connected Automated Vehicle (CAV) technology aiming to reduce energy consumption for
crossing a signalized intersection or set of intersections in a corridor that features vehicle-to …