A review of power and energy management strategies in electric vehicles

Tie, Siang Fui; Tan, Chee Wei

doi:10.1109/icias.2012.6306229

Cited by 17 publications

(19 citation statements)

References 39 publications

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“…Therefore, EVs may contribute to the optimization of electric power systems as mobile energy storages [27]. Also, regarding off-grid management, energy management system can be classified of EV into three layers [28]; (1) hardware-based Low-Level Control (LLC), (2) hardware based Low-Level Component Control together on the electronic system during analysis, implementation, and execution of the energy management system strategy [29,30]. Besides, the calefaction of HLSC is shown in Fig.…”

Section: Energy Management System In Electric Vehiclementioning

confidence: 99%

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

Sharaf¹,

Omar

Gandoman

et al. 2018

Advances in Renewable Energies and Power Technologies

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Over the few last decades, the demand for electrical energy is rising remarkably. As a result, the usage of environmentally friendly and renewable energy sources has been increased. Parallel to these developments, the number of the gasoline-powered vehicle has been increased and therefore the energy shortages and environmental concerns increased as well. From this perspective, research into the usage of renewable energy sources instead of fossil fuels in the automotive industry is proceeding fast. One of the most important issues, which play a significant role in overcoming the problem mentioned above, is the implementation of modern electrical networks including Electric Vehicle (EVs). In this chapter, the standard EVs applications in smart grids are presented and discussed. Besides, two novel low-impacts efficient Vehicle to Hybrid (V2H) battery and Hybrid Vehicle to Grid (V2G) smart grid battery are presented. The new schemes utilized switched filter-capacitive compensation to ensure fast multi-mode charging with enhanced power quality and power factor in addition to minimal inrush currents and improved energy utilization.

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Section: Energy Management System In Electric Vehiclementioning

confidence: 99%

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

Sharaf¹,

Omar

Gandoman

et al. 2018

Advances in Renewable Energies and Power Technologies

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“…The combustion of the fuel (usually a fossil fuel) takes place in a combustion chamber where the fuels gets mixed with an oxidizer (normally air) and propels a piston. Nowadays, ICE vehicles are equipped with an auxiliary electrical motor which enhances the fuel economy by 5-15% (in city/urban environments) through turning off the ICE during coasting, braking or stopping [1,12].…”

Section: Internal Combustion Engine Vehicle Definitionmentioning

confidence: 99%

“…An HEV combines a traditional ICE propulsion system with an electrical propulsion system in order to achieve a better fuel economy. Currently, six drive train architectures types of HEV can be distinguished [1,12] (figure 1.1.2).…”

Section: Hybrid Electrical Vehicle Definitionmentioning

confidence: 99%

“…This fact makes this type of HEV the less efficient among the rest of types of HEV. It includes regenerative breaking as the main system to recover and store energy [1,12,14,15].…”

Section: Hybrid Electrical Vehicle Definitionmentioning

confidence: 99%

“…This HEV (figure 1.1(c)) are able to propel the vehicle in three possible ways: through the electrical motor, through the ICE and combining both the electrical motor and the ICE. The parallel full-HEV count with a higher efficiency due to size of its battery and its electrical motor compared to the previous types of HEV [1,12].…”

Section: Hybrid Electrical Vehicle Definitionmentioning

confidence: 99%

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Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation

Naranjo¹

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The incorporation of high levels of small-scale non-dispatchable distributed generation is leading to the transition from the traditional 'vertical' power system structure to a 'horizontally-operated' power system, where the distribution networks contain both stochastic generation and load (such as electric vehicles recharging). This fact increases the number of stochastic inputs and dependence structures between them need to be considered. The deterministic analysis is not enough to cope with these issues and a new approach is needed. Probabilistic analysis provides a better approach. This PhD thesis describes the grid impact analysis of charging electric vehicles (EV) using charging curves with detailed battery modelling. A probabilistic method using Monte Carlo was applied to a typical Spanish distribution grid, also using mobility patterns of Barcelona. To carry out this analysis, firstly, an IEEE test system was adapted to a typical distribution grid configuration; secondly, the EV and its battery types were modeled taking into account the current vehicle market and the battery characteristics; and, finally, the recharge control strategies were taken in account. Once these main features were established, a statistical probabilistic model for the household electrical demand and for the EV charging parameters was determined. With these probabilistic models, the Monte Carlo analysis was performed within the established scenario in order to study the lines' and the transformers' loading levels. The results show that an accurate model for the battery gives a more precise estimation about the impact on the grid. Additionally, mobility patterns have been proved to be some of the most important key aspects for these type of studies.

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