Due to the complex nature of hybrid electric vehicles, control strategies based on engineering intuition frequently fail to achieve satisfactory overall system efficiency. This paper presents a procedure for improving the energy management strategy for a parallel hybrid electric truck on the basis of dynamic optimization over a given drive cycle. Dynamic Programming techniques are utilized to d...

With cutbacks in defence budgets, military vehicles have advanced beyond acting as merely troop carriers, weapons platforms or supply vehicles. As the philosophy of doing more with less becomes reality, armoured fighting vehicles (AFVs) must take on a more multipurpose role by housing sophisticated communications equipment, surveillance and target acquisition components and weapons systems, as ...

differential steering of in-wheel electric vehicle provides the functions of both active steering and power assisted steering with the coupling control of force and displacement transfer characteristic of system. a collaborative optimization model of the differential power-assisted steering system of in-wheel electric vehicle is built, with steering economy as the main system optimization goal,...

In this paper a hybrid electric vehicle is considered, which contains both an internal combustion engine and an electric motor (EM). Without focusing on the other components of the vehicle, the EM is treated in detail, both regarding modelling aspects and control solutions. After a brief modelling of the plant, two cascade speed control solutions are presented: first a classical PI+PI cascade c...

More and more hybrid electric vehicles are driven since they offer such advantages as energy savings and better active safety performance. Hybrid vehicles have two or more power driving systems and frequently switch working condition, so controlling stability is very important. In this work, a two-stage Kalman algorithm method is used to fuse data in hybrid vehicle stability testing. First, the...

The transport sector is today a major source of pollutant and greenhouse gas emissions. Fuel Cell Hybrid Electric Vehicles are solution to reduce its environmental impact, thanks the zero tailpipe emissions longer driving ranges if compared with full electric vehicles. A Digital Twin FCHEV developed in this study, through assessment models mechanical thermal systems within vehicle. Simulink/Sim...

Hybrid electric vehicle (HEV) is getting more attention recently because it has no emission of toxic gases which leads to global warming. Now a days, Particle swarm Optimization Gravity Search Algorithm (PSOGSA) is widely used for optimization, because of its faster convergence rate to the optimal minimum value than other optimization techniques. The main aim of this paper is to control the spe...

GPS data for a year’s worth of travel by 255 Seattle households illuminate how plug-in electric vehicles can match household needs. The results suggest that a battery-electric vehicle (BEV) with 100 miles of range should meet the needs of 50% of one-vehicle households and 80% of multiple-vehicle households, when charging once a day and relying on another vehicle or mode just 4 days a year. More...

The power electronics inverter can be considered as the weakest link in an electric drive system, hence the focus of this research work is on the detection of fault conditions of the inverter. A machine learning framework is developed to systematically select torque-speed domain operation points, which in turn are fed to an electric drive model to generate signals for training an artificial neu...

INTRODUCTION RECENT years have seen many different initiatives aimed at bringing about a low-carbon society and it is anticipated that, in the automotive field, HEVs (hybrid electric vehicles) that offer significant improvements in fuel consumption will precede EV (electric vehicles) in becoming the mainstream of future vehicle markets. HEVs achieve low fuel consumption and powerful performance...