A Comprehensive Overview of Hybrid Electric Vehicles

Shen, Caiying; Shan, Peng; Gao, Tao

doi:10.1155/2011/571683

Cited by 47 publications

(33 citation statements)

References 37 publications

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“…In This section it will try to give an overview of the various strategies of control powertrain for HEV and review the latest methods of these strategies. It can be remembered that the aim of the control strategies is to meet a set of objectives/targets/constraints [7,[49][50][51][52]:…”

Section: Hv Powertrain Control and Managementmentioning

confidence: 99%

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

Capata

2018

Energies

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Pollution derived from transportation systems is a worldwide, timelier issue than ever. The abatement actions of harmful substances in the air are on the agenda and they are necessary today to safeguard our welfare and that of the planet. Environmental pollution in large cities is approximately 20% due to the transportation system. In addition, private traffic contributes greatly to city pollution. Further, “vehicle operating life” is most often exceeded and vehicle emissions do not comply with European antipollution standards. It becomes mandatory to find a solution that respects the environment and, realize an appropriate transportation service to the customers. New technologies related to hybrid–electric engines are making great strides in reducing emissions, and the funds allocated by public authorities should be addressed. In addition, the use (implementation) of new technologies is also convenient from an economic point of view. In fact, by implementing the use of hybrid vehicles, fuel consumption can be reduced. The different hybrid configurations presented refer to such a series architecture, developed by the researchers and Research and Development groups. Regarding energy flows, different strategy logic or vehicle management units have been illustrated. Various configurations and vehicles were studied by simulating different driving cycles, both European approval and homologation and customer ones (typically municipal and university). The simulations have provided guidance on the optimal proposed configuration and information on the component to be used.

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Section: Hv Powertrain Control and Managementmentioning

confidence: 99%

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

Capata

2018

Energies

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“…Several other approaches have been proposed in the literature, such as Equivalent Consumption Minimization Strategy (ECMS), Genetic algorithms, Fuzzy logic, Rule-based, Thermostat ... [4], [5], [6]. All these methods can be much faster than DP, but to the best of our knowledge, none of them found solutions of better quality than DP.…”

Section: Literature Reviewmentioning

confidence: 99%

A better alternative to dynamic programming for offline energy optimization in hybrid-electric vehicles

Guemri

Ngueveu²,

Caux

et al. 2013

2013 IEEE 11th International Workshop of Electronics, Control, Measurement, Signals and Their Application to Mechatronics

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“…In recent years, research on the development of electric vehicle is increasing, due to the increasing number of motor vehicles in the world consumption of 700 million in a 2.5 billion along with the increasing world population of 6 billion in 2000 to 10 billion in 2050 [1]. Research to develop electric vehicles lies in various aspects such as the battery's ability to store energy, improving the efficiency of the electric motor as the driving force, the material component architecture with lighter materials and power electronics [2].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis Stability Of Speed Control Of BLDC Motor Using PID-BAT Algorithm In Electric Vehicle

Anshory

2017

jeeeu

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-The research on the development of electric vehicles includes such as power electronics, energy storage capability that the higher the battery, reducing fuel emissions, and the motor efficiency. The electric motor efficiency requires the automatic control on the main parameters such as speed, position, and acceleration. The performance setting of speed Brushless DC (BLDC) Motor can be improved by using the controller Proportional Integral Derivative (PID), a combination of PID using nature inspired optimization algorithms such as Bat Algorithm (BA). BA is one of the optimization algorithm that mimics the behavior of bats on the move using a vibration or sound pulses emitted a very loud (echolocation) and listen to the echoes that bounce back from the object to determine the circumstances surrounding vicinity In this paper, simulate of Bat Algorithm to find the best value PID controller parameter to speed control BLDC motor and analyze performance such as the value of overshoot, steady state. The result simulation shows that values for the PID parameters without using algorithm bat is Kp = 208.1177, Ki = 1767, and Kd = -8.6025. While using the algorithm bat got value Kp = 5.4303e+04, Ki = -1.3059e+06, and Kd = 3.0193e+04. The performance of the motor obtained through value rise time of 0. 282, settling time of 1.5, overshoot value of 20.5% and the peak value of 1.21.

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A Comprehensive Overview of Hybrid Electric Vehicles

Cited by 47 publications

References 37 publications

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

A better alternative to dynamic programming for offline energy optimization in hybrid-electric vehicles

Performance Analysis Stability Of Speed Control Of BLDC Motor Using PID-BAT Algorithm In Electric Vehicle

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