Design Optimization of Motor/Generator Full-load Characteristics in Two-mode Hybrid Vehicles
نویسندگان
چکیده
An important benefit in adopting multi-mode hybrid powertrains is the possibility of downsizing the electric motor/generator (M/G) units. This paper discusses design optimization of M/G full-load operation envelopes. A three-dimensional operation space analysis is introduced and the full-load speed-torque envelopes of M/G units appear as constraints in the powertrain operation space. The analysis shows how the change in the M/G characteristics affects the powertrain full-load performance and how the M/G units can be downsized by combining multiple modes. When the acceleration performance of a two-mode hybrid vehicle is estimated using this analysis method, the trade-off between enhancing performance and reducing M/G fullload capacities is formulated as an optimization problem. The results show significant improvement in dynamic performance at reduced M/G cost.
منابع مشابه
A Strategic Mild Hybrid Technology for Reducing Pollution and Optimization of Fuel Sources
Many studies have been done on hybrid vehicles in the past few years. The full hybrid vehicles need a large number of batteries creating up to 300 (V) to meet the required voltage of electric motor. The size and weight of the batteries cause some problems. This research investigates the mild hybrid vehicle. This vehicle includes a small electric motor and a high power internal combustion engine...
متن کاملA Novel Two Phase Hybrid Switched Reluctance Motor/Field-Assisted Generator: Concept, Simulation, and Experimental Confirmation
The switched reluctance motor is a simple and robust machine, which has found application over a wide power and speed ranges in different shapes and geometries. This paper introduces a new configuration for a two phase unidirectional switched reluctance motor/field assisted generator. The proposed novel motor/generator consists of two magnetically independent stator and rotor sets (layers), whe...
متن کاملOptimal mathematical operation of a hybrid microgrid in islanded mode for improving energy efficiency using deep learning and demand side management
Deep learning method is used to predict the future value of load demand. Based on obtained results, a new model based on the forward-backward load shifting and unnecessary load shedding is presented. As well, to increase energy efficiency, excess renewable energy has been used to produce green hydrogen. For this purpose, GAMS optimization software has been used for optimal operation of the micr...
متن کاملاستراتژی کنترل پیش بین برای مدیریت توان در خودروی الکتریکی هیبرید موازی
In this paper, a hybrid model-based nonlinear optimal control method is used to compute the optimal power distribution and power management in parallel hybrid electric vehicles. In the power management strategy, for optimal power distribution between the internal combustion engine, electrical system and the other subsystems, nonlinear predictive control is applied. In achieving this goal, a hie...
متن کاملTraction Motor Sizing for Optimal Fuel Economy in Propulsion Hybridization
This paper presents the traction motor sizing for optimal urban fuel economy in two mild and three strong hybridization propulsion on front-wheel-drive vehicles. The traction motor sizes, by means of motor rated torque and speed, are optimized for maximum urban fuel economy. The two mild hybrids are Belt-Integrated-Starter-Generator (BISG) and Crankshaft-Integrated-Starter-Generator (C-ISG) sys...
متن کامل