Energy Consumption and Total Vehicle Efficiency Calculation Procedure for Electric Vehicles (EV, HEV and PHEV)

2018 ◽  
Author(s):  
Désirée Alcázar-García ◽  
Luis Romeral Martínez
Keyword(s):  
Electric Vehicle ◽  
Electric Motor ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Wide Range

An important question regarding vehicles design optimization and environmental care are energy management strategy and efficiency determination. Automotive brands work with a wide range of technologies and electrified mobility is considered to be one of the solutions to the growing environmental question. The present paper develops a mathematical model to predict the light-duty electric vehicle overall consumed energy depending on architecture and configuration of vehicles with different degrees of electrification (e.g. electric vehicle and hybrid electric vehicle), on the type of electric motor (e.g. hybrid synchronous electric motor, permanent magnet motor or induction motor) and engine (e.g. gasoline (Otto or Atkinson) or Diesel), on technology of energy-storage system (e.g. lithium-ion or nickel-metal hydride battery) and on weight and geometry of the car being flexible drive cycles and for all types of wheel drive (four wheel, front and rear). The method is verified making a component-to-component revision through real automobiles that are available in the market to demonstrate the validity of the system.

scholarly journals Modeling and analysis of hybrid controller by combining MFB with FLC implemented to ultracapacitor-based electric vehicle

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Motor ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Energy Storage System ◽  
Smooth Transition ◽  
Energy Management Strategy ◽  
Control Approach

An optimized energy management strategy is designed for a hybrid energy storage system (HESS) to drive the hybrid electric vehicle (HEV) / electric vehicle (EV). Combination of battery and Ultra-Capacitor (UC) forms the HESS for an HEV / EV which will enhance the acceleration performance of the electric motor, reduced battery charge-discharge cycle and improves the driving range. The main aim of the proposed method is to design a control approach for automatic smooth switching between sources of HESS corresponding to the speed of the motor. To achieve the main objective, a new controller is designed with four math functions and programmed separately corresponding to the speed of the motor termed as MFB controller. The fuzzy logic controller is used to obtain the controlled gate pulses for Uni-directional (UDC) and Bi-directional (BDC) converters, those are placed at the battery and UC end. The MFB and Fuzzy logic controllers work together to attain a smooth transition between the battery and UC related to the speed of the electric motor. Finally, the effectiveness of the control strategy is validated with four modes of operation in MATLAB/Simulink.

Designing a High Voltage Energy Storage System for a Parallel-Through-The-Road Plug-In Hybrid Electric Vehicle

2013 ◽  
Author(s):  
Bryan Whitney Belt ◽  
Adam Fogarty ◽  
Kevin Oswald ◽  
Gregory Shaver ◽  
Peter Meckl ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
High Voltage ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
The Road ◽  
Hybrid Electric

scholarly journals Ultra-capacitor based Hybrid Electric Vehicle (Medium) for Developing Countries

REAKTOR ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 92
Author(s):  
Md. Zahid Hasan ◽  
Md. Rubaiat Adnan ◽  
Sabhasachi Saha ◽  
Souvik Roy
Keyword(s):  
Electric Vehicle ◽  
Power Loss ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
System Efficiency ◽  
Power Train ◽  
Low Weight ◽  
Ultra Capacitor ◽  
Further Development

This research is directed to the hybridization of battery and ultra-capacitor for a better effectiveness. This portrays the benefits of introducing an ultra-capacitor into a battery pack of an urban electric vehicle drive train. Matlab Simulations are done taking two basic scenarios into consideration: fresh cells and half-used battery cells. The simulations show that the lower the temperature (25-28 OC) higher the hybrid system efficiency (25-30%). Data from real world and previous studies are considered to conduct this study. Previous studies showed efficiency raise upto 7%, whereas this system showed around 14% efficiency raise. Simulations are done considering modified Bangladeshi drive cycle for low weight vehicles. Several issues like volumetric, gravimetric and cost issues of hybridization are present in this paper. By this system the power loss of the system can be reduced by up to 5% to 10% regarding to conventional system. Finally hybridization not only increases the efficiency of the energy storage system also increases the power train efficiency and battery lifespan. This paper would help researchers for further development of this topic.

scholarly journals Energy Optimal Control Strategy of PHEV Based on PMP Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Tiezhou Wu ◽  
Yi Ding ◽  
Yushan Xu
Keyword(s):  
Optimal Control ◽  
Energy Storage ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Optimal Control Strategy ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

Under the global voice of “energy saving” and the current boom in the development of energy storage technology at home and abroad, energy optimal control of the whole hybrid electric vehicle power system, as one of the core technologies of electric vehicles, is bound to become a hot target of “clean energy” vehicle development and research. This paper considers the constraints to the performance of energy storage system in Parallel Hybrid Electric Vehicle (PHEV), from which lithium-ion battery frequently charges/discharges, PHEV largely consumes energy of fuel, and their are difficulty in energy recovery and other issues in a single cycle; the research uses lithium-ion battery combined with super-capacitor (SC), which is hybrid energy storage system (Li-SC HESS), working together with internal combustion engine (ICE) to drive PHEV. Combined with PSO-PI controller and Li-SC HESS internal power limited management approach, the research proposes the PHEV energy optimal control strategy. It is based on revised Pontryagin’s minimum principle (PMP) algorithm, which establishes the PHEV vehicle simulation model through ADVISOR software and verifies the effectiveness and feasibility. Finally, the results show that the energy optimization control strategy can improve the instantaneity of tracking PHEV minimum fuel consumption track, implement energy saving, and prolong the life of lithium-ion batteries and thereby can improve hybrid energy storage system performance.

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