The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a study of an electric vehicle (EV) with two different drive systems and three available electric motors (EMs) configurations. The EMs are BLDC (Brushless Direct Current) motors combined with a proportional-integral controller (PI). The vehicle power demand is divided between the drive systems through rules based vehicle power management control (PMC) that aims to reduce the lithium-ion...
This study evaluates the costs and benefits associated with the use of a stationary-wireless- power-transfer-enabled plug-in hybrid electric bus and determines the cost effectiveness relative to a conventional bus and a hybrid electric bus. A sensitivity sweep was performed over many different battery sizes, charging power levels, and number/location of bus stop charging stations. The net present...
This paper presents a graphical description model for an urban electric minibus using energetic macroscopic representation. Considering a real case study of Coimbra's electric minibus, an energetic macroscopic representation model of the electric minibus was developed, including its control layer and strategy structure. An accurate model is demanded to perform energetic studies to manage the accelerated...
Battery electric city bus model has been created and the simulation results compared against the measured results from the full scale city bus developed for heavy vehicle research. The model utilizes multi- physics modelling approach with multiple-domains from friction-tyre and transmission model to electrical drive and a simplified battery model. The modelled and measured motor torque, current and...
Electric vehicles are facing a real challenge as they are expected to reduce drastically energy consumption and air pollution of transport. However their performances remain under users' expectation mainly concerning the range and its fluctuation. "Eco-behavior" use like eco-driving could help to reduce range weakness. This paper proposes an approach based on speed profile optimization that...
Vehicle-to-building (V2B) aims at exploiting electric vehicles (EVs) as occasional energy sources for smart buildings. In this paper, we are demonstrating the economic viability of V2B in the context of regulated electricity markets, taking into account the battery wear- out cost and charger inefficiencies. This is made possible thanks to the billing scheme used, which includes strong penalties for...
Heating in winter can reduce the maximum driving range of electric vehicles by about 50%. Therefore, thermal management is currently a big issue in this sector. This contribution shows the development and implementation of an entire vehicle model which is capable of investigating novel concepts for increasing the maximum driving range of electric vehicles. Therefore, a co-simulation interface between...
This paper provides a sensitivity analysis of the required EV propulsion power with respect to environmental factors such as wind speed, rolling resistance and temperature. The results obtained show the degree to which environmental factors affect overall battery power and energy usage for electric transportation. The paper provides analytical expressions as well as simulations to illustrate the key...
In the last decade the merchandise transportation has considered the insertion of Electric Vehicles (EVs) in their fleets, in order to reduce the negative environment impact generated by the Internal Combustion Engines (ICEs). Whereby, this paper addresses the solution of two combined problems: determining the Battery Swap Station Location (BSSL) and solving the Capacitated Vehicle Routing Problem...
This paper presents a predictive control algorithm for economic optimization of a microgrid. The proposed microgrid has a connection with the external electrical network and also with a charging station for electric cars. System modeling was carried out by the Energy Hubs methodology. The proposed algorithm has the task of performing the management of electricity purchase and sale to the power grid,...
Plug-in Electrical Vehicles (PEVs) are expected to be continuously adopted worldwide in near future. PEV charging characteristics are quite unique and depend solely on drivers' behaviours. Accordingly, PEV charging periods are also quite uncertain. They are not only affecting the system loading but also leading to other problems in distribution network. The voltage problem due to effects of home PEVs...
Energy management simulation is a very important aspect on the planning of new hybrid and electric vehicles. In this paper a simulation approach based on Matlab Simulink considering road and vehicle dynamics it is applied to the simulation of an Urban Bus. The objective of the control strategy implemented is the subdivision of energy sources to guarantee propulsion and operation of vehicle's auxiliary...
This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS). In the study, investigations were carried down on a small-scale battery pack. An equivalent circuit network model of the pack was developed and...
In this paper, a hybrid energy storage system (HESS) included a supercapacitor (SC) is proposed for reducing the battery current stress in hybrid electric vehicles. The battery and SC sizes will be optimized based on a desired minimal mileage and a power demand profile, respectively. The proposed energy management strategy will be implemented by fuzzy logic controller (FLC). The proposed strategy...
Automated guided vehicles(AGV) are becoming a popular tool in industries, manufactories, etc. That is why much research has been devoted to different AGV problems such as routing and scheduling. The issues of defining when an AGV needs to charge its battery is an important issue. This article addresses the problem of scheduling charging operation considering a set of identical automated guided vehicles...
In the paper, a PESTLE (political, economic, social, technical, legal, and environmental) analysis is used to conduct an initial evaluation for electric vehicles (EV) and gasoline cars. Furthermore, two cash flow models are created to describe the scenarios of both gasoline and electric car respectively. Based upon the proposed models, the equivalent uniform annual cost (EUAC) methodology is used...
Due to the limited computational capabilities of commercial control hardware, the implementation of model-based optimal control approaches remains a challenging problem. Among the model-based approaches, model predictive control (MPC) is infamous for its cumbersome computational cost especially for designing a hybrid vehicle powertrain energy management system (EMS). To resolve this issue, two multi-parametric...
This paper examines modeling and control of a large population of grid-connected plug-in electric vehicles (PEVs). PEV populations can be leveraged to provide valuable grid services when managed via model-based control. However, such grid services cannot sacrifice a PEV's primary purpose - mobility. We consider a centrally located fleet of identical PEVs that are distributed to and collected from...
Advances in lithium-ion battery technology have created new opportunities for this energy storage system to penetrate much deeper into the transportation sector, especially through automotive hybridization. In automotive applications, managing and optimizing the safety and reliability of batteries is of great interest for both users and manufacturers. To this purpose, battery management system (BMS)...
In this paper a data driven operational strategy for a hybrid electric vehicle (HEV) is developed. There are two big benefits of the proposed approach: The possibility of real-time implementation within embedded control units and the high potential for automated calibration. Starting point is a user defined set of fuel-optimized driving cycles for a hybrid vehicle, which is generated applying e.g...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.