A 10kW 97%-efficiency LLC resonant DC/DC converter with wide range of output voltage for the battery chargers in Plug-in Hybrid Electric Vehicles

2012 ◽  
Author(s):  
Wei Guo ◽  
Hua Bai ◽  
Gyula Szatmari-Voicu ◽  
Allan Taylor ◽  
Jeff Patterson ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Output Voltage ◽  
Hybrid Electric Vehicles ◽  
Battery Chargers ◽  
Wide Range ◽  
Hybrid Electric

Power Converters for Hybrid Electric Vehicles

2021 ◽  
pp. 168-192
Author(s):  
M. Nandhini Gayathri
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Power Converters ◽  
Electric Drives ◽  
Battery Chargers ◽  
Harmful Emissions ◽  
Hybrid Electric ◽  
Battery Technology ◽  
Efficiency And Reliability

Hybrid electric vehicles have great potential to reduce fuel consumption and palliate harmful emissions for better population health and climate change. These power trains are essential to meet current emissions legislation, contribute to more environmentally friendly mobility and improve air quality in big cities. In the past two decades, due to the advent growth of modern electric drives, battery technology, and intelligent charging methodology, the overall performance of the electric vehicles have improved. Many research works have been conducted to improve the efficiency and reliability. It increases the applications of electric vehicles. Apart from grid power, the use of renewable sources makes zero-emission rate and zero fuel cost. This chapter deals with the role of power converters in hybrid electric vehicles (PHEVs). It deals with power converters used in hybrid electric vehicles, types of battery chargers, emerging power electronic devices, and thermal management of HEV power electronics, which are presented with the simulation using MATLAB software.

Fuel consumption reduction by introducing best-mode controller for hybrid electric vehicles

2019 ◽  
Vol 234 (2-3) ◽  
pp. 810-822
Author(s):  
Behrooz Mashadi ◽  
Mahdi Khadem Nahvi
Keyword(s):  
Dynamic Programming ◽  
Fuel Consumption ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
State Of Charge ◽  
Optimization Strategy ◽  
Consumption Reduction ◽  
Wide Range ◽  
Battery State Of Charge ◽  
Hybrid Electric

In this paper, a power management system for hybrid electric vehicles is developed and shown to improve the vehicle fuel consumption in various working conditions. A best-mode concept is defined based on the results of the dynamic programming global optimization strategy. It is shown that the use of exclusive control relations for each working mode improves fuel saving. The working state of the engine and one electric motor is used to determine the best-mode of powertrain operation. The best-mode classification also considers the battery state of charge. This enables the controller to specify near optimal working points in a wide range of state of charge. The control rule for each different work-mode is developed based on the dynamic programming results and applying the particle swarm optimization algorithm. The results show that the best-mode controller is capable of achieving fuel consumptions around 97% of that of the offline dynamic programming.

scholarly journals Demand Side Management for Charging Plug-In Hybrid Electric Vehicles

2020 ◽  
pp. 152-157
Author(s):  
Praveena P ◽  
Chandrika V S ◽  
Baranilingesan I ◽  
Ravindran S ◽  
Pazhanimuthu C
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Hybrid Electric Vehicles ◽  
Low Voltage ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Wide Range ◽  
Hybrid Electric ◽  
Power Curves

In future the usage of Plug-in hybrid electric vehicles (PHEV) will be in wide range, which will impose huge burden to the distributive system. The peak load at the distribution system can be controlled by Demand Side Management (DSM) strategy. In the proposed study, the load curve of Low-voltage Transformers (LVTs) is made to be flatten, on satisfying the requirement of charging PHEV at given time to the required level. The proposed problem statement is formulated as convex optimization problem, and then the random arrival of PHEV is handled by introducing the moving horizon strategy. Based on this, the PHEV are being disconnected from the LVTs beyond their respective exit times. Such that the demand curve of the LVTs is flattened. This problem is solved using MATLAB and the power demand curves of the LVTs, power curves of the PHEVs and non- PHEV load are compared over a time of 24 hours to show that the power curve is flattened with the penetration of PHEV.

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