Special Issue on “Recent Developments on Modeling and Control of Hybrid Electric Vehicles”

2016 ◽  
Vol 18 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Hamid Reza Karimi ◽  
Junqiang Xi ◽  
Fengjun Yan
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Special Issue ◽  
Modeling And Control ◽  
Recent Developments ◽  
Hybrid Electric ◽  
And Control

Modeling and Control Strategy of Series Hybrid Electric Vehicles

2014 ◽  
Vol 543-547 ◽  
pp. 1246-1249
Author(s):  
Liang Zhang ◽  
Bin Jiao ◽  
Lei Li
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Power Distribution ◽  
Hybrid Electric Vehicles ◽  
System Structure ◽  
Modeling And Control ◽  
Powertrain Control ◽  
Hybrid Electric ◽  
And Control ◽  
Made In

The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.

Sensitivity and Correlation Analysis and Implications in Scalable Product Family Design for Plug-In Hybrid Electric Vehicles

2015 ◽  
Author(s):  
Zhila Pirmoradi ◽  
G. Gary Wang
Keyword(s):  
Correlation Analysis ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Electric Energy ◽  
Product Family ◽  
Green Energy ◽  
Product Family Design ◽  
Hybrid Electric ◽  
Market Needs ◽  
And Control

Plug-in Hybrid Electric Vehicles (PHEVs) bear great promises for increasing fuel economy and decreasing greenhouse gas emissions by the use of advanced battery technologies and green energy resources. The design of a PHEV highly depends on several factors such as the selected powertrain configuration, control strategy, sizes of drivetrain components, expected range for propulsion purely by electric energy, known as AER, and the assumed driving conditions. Accordingly, design of PHEV powertrains for diverse customer segments requires thorough consideration of the market needs and the specific performance expectations of each segment. From the manufacturing perspective, these parameters provide the opportunity of mass customization because of the high degree of freedom, especially when the component sizes and control parameters are simultaneously assessed. Based on a nonconventional sensitivity and correlation analysis performed on a simulation model for power-split PHEVs in this study, the product family design (PFD) concept and its implications will be investigated, and limitations of PFD for such a complex product along with directions for efficient family design of PHEVs will be discussed.

Study and Investigation of Energy Management Techniques Used in Electric/Hybrid Electric Vehicles

2021 ◽  
Vol 54 (4) ◽  
pp. 599-606
Author(s):  
Punyavathi Ramineni ◽  
Alagappan Pandian
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Internal Combustion Engines ◽  
Hybrid Electric Vehicles ◽  
Vital Role ◽  
Combustion Engines ◽  
Key Factor ◽  
Hybrid Electric ◽  
And Control ◽  
Intelligent Controllers

Many pollution-related issues are raising due to the usage of conventional internal combustion engines (ICEs) vehicles. Electric Vehicles/ Hybrid electric vehicles (EVs/HEVs) are the finest solutions to overcome those problems associated with ICE-based vehicles. The EVs are introduced with a signal energy source (SES), which is not a successful attempt, especially during transient vehicles, driving, etc. Multiple energy sources (MES) EVs are introduced to attain better performance than the SES vehicles, which is obtained by combining two sources like battery/fuel cells, ultracapacitor. In this contest, energy management (EMNG) plays a vital role in sharing the load to the sources as per the EVs requirement. In the case of MES-based EVs, the controller always plays a significant role in the related EMNG system because it is the key factor in improving vehicle efficiency. In this article, a study has mainly been done related to several conventional, intelligent controllers and control algorithms to do the proper EMNG between sources present in the EV.

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