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.
A torque distribution controller based on the fuzzy logic for a double-clutch parallel hybrid electric vehicle was designed to determine the distribution of torque between engine and motor. Fuzzy logic controller is designed bases on speed, driver commands and battery state of charge. The motor auxiliary drive, ensuring the state of charge normal and providing a part of power to meet the needs of...
Vehicle emission reduction has been a research objective for many years, by improving fuel economy and energy efficiency. Therefore, this paper presents a fuzzy logic controller for a Parallel Hybrid Electric Vehicle (PHEV). The PHEV required driving torque is generated by a combined contribution from an Internal Combustion Engine (ICE) and an Induction Motor (IM). The proposed Fuzzy Logic Controller...
This paper presents an optimal energy management strategy based on fuzzy logic for a Hybrid Electric Vehicle (HEV) with parallel structure. The proposed strategy maximizes the output torque of the vehicle while minimizing fuel consumption and emission in comparison to the combustion engines. The fuzzy logic controller will be designed based on the state of charge of batteries and the desired torque...
The economical and regulatory pressures place on the automotive industry to develop vehicles with increased fuel efficiency will continue to grow over the coming decade. Hybrid electric vehicles (HEVs) represent a solution which has received a large degree of interest from government, academia, and automotive manufacturers. This paper studies the potential of using a fuzzy logic controller to optimize...
In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between...
As hybrid electric vehicles (HEVs) are gaining more popularity in the market, the rule of the energy management system in the hybrid drivetrain is escalating. This paper classifies and extensively overviews the state-of-the-art control strategies for HEVs. The pros and cons of each approach are discussed. From different perspectives, real-time solutions are qualitatively compared. Finally, a couple...
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.