To achieve higher fuel economy and lower emissions hybridization of conventional vehicles seems to be an effective solution and an important step. In this paper, after a short introduction about the hybrid electric vehicles a brief design of series electric vehicles is introduced. Then one of the Iran-Khodro city buses named O457 is chosen to change to a series hybrid electric bus. After choosing the proper hybrid components the bus performance is investigated to assure whether it can satisfy the required performance or not. Then the conventional O457 and its series configurations for two different control strategies are defined and evaluated using the ADvanced VehIcle SimulatOR, ADVISOR. Simulations are carried out in a combined urban drive cycle because of the lack of a real drive cycle for Tehran city. The fuel consumption and the amount of produced emissions are compared together for three mentioned cases. The validity of simulation has been proved by the close conformity between the value of fuel consumption of the conventional vehicle reported by the company to what has been achieved from the simulation. It is observed that compared to the conventional vehicle, a reduction in fuel consumption about 32% in the maximum SOC control strategy and about 27% in the thermostat control strategy are possible to achieve. In addition, simulation results indicate that air pollution caused by vehicle engine can be greatly reduced through hybridization using each of the mentioned control strategies.
Hybridization of conventional vehicles is considered an important step to achieve high fuel economy and low emissions. In this study, principle considerations involved in a hybridizing process are discussed and consequently, a sequential approach for designing hybrid components for both series and parallel configurations has been introduced. The so called approach has then been applied to one of the productions of Iran-Khodro Company called SAMAND. Having designed the hybrid components, the conventional SAMAND and its series and parallel hybrid configurations were defined and evaluated using the ADvanced VehIcle SimulatOR (ADVISOR) software. It is observed that compared to the conventional vehicle, a reduction in fuel consumption by about 51% in the series configuration and about 34% in the optimized parallel configuration is achievable.
This paper describes the development and application of a simulation model for a vehicle Rolling-Road dynamometer. Due to the topology of such a system it cannot be considered as a purely lumped system nor would it be practical to assume it to be purely distributed. Consequently a partially distributed and partially lumped assumption is adapted. This technique has been successfully applied to a variety of engineering applications in which the system parameters are partially distributed and partially lumped. The drive line of the vehicle dynamometer lends itself to this method since the inertia of the rolls and shaft are distributed whilst the damping due to the bearings and the motor can be considered as lumped systems/elements. This method enables the analysis of the dynamic performance of the dynamometer, which is not possible using lumped or point wise techniques. The dynamic performance of the dynamometer is investigated in this paper, using a conventional three-term controller for maintaining the roll speed under step, ramp and impulse disturbances.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.