This paper presents a novel framework to enable automatic re-training of the supervisory
powertrain control strategy for hybrid electric vehicles using supervised machine learning. The …

… machine learning for optimal energy management in HEVs. We will present a machine
learning … of energy management in an HEV, machine learning algorithms for predicting driving …

… In this paper we present a systematic approach based on machine learning to establish
online diagnosis for a hybrid-electric vehicle model in the context of the DAKODIS research …

… with InVehicle Networks. This means that traditional statistical analysis and Machine Learning
tools … Hence, we aim to develop a Hybrid Machine Learning Model to predict the power …

… The major novelty of this study lies in the development of a VTC based on machine learning
… machine learning algorithms, demonstrating the great potential of machine learning …

… comparing hybrid electric vehicles to conventional vehicles. In summary, hybrid electric vehicles
and … Battery electric vehicles can be a solution to an environmental problem. It has been …

… , the machine learning method and its application in increasing the efficiency of a hybrid … In
this regard, the energy management system is designed based on machine learning methods …

… a few vehicles powered by petrol, diesel, and LPG for the purpose of roundabout emission.
When we consider hybrid vehicles, … model of CO 2 using machine learning. Furthermore, the …

… This paper proposes a machine learning based approach for energy management in … vector
machine for modeling and estimating the charging demand of hybrid electric vehicles (HEVs)…

… Till now, MPC algorithms have been widely adopted to manage energy distributions in
different types of hybrid vehicles, such as fuel cell electric vehicles, hybrid electric vehicles (HEVs…