Energy management strategies comparison for electric vehicles with hybrid energy storage system

Song, Ziyou; Hofmann, Heath; Li, Jianqiu; Hou, Jun; Han, Xiao; Ouyang, Minggao

doi:10.1016/j.apenergy.2014.08.035

Cited by 310 publications

(113 citation statements)

References 31 publications

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“…where η m is the motor efficiency (90% in this study) [17] and η inverter is the Inverter efficiency (95% in this study) [18]. When selecting the battery capacity, the maximum output power and energy consumed to meet the requirements of the power performance and endurance mileage are the main parameters to be considered.…”

Section: Selection and Calculation Of The Test Cyclesmentioning

confidence: 99%

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Siyu

Chen

2017

Energies

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This study investigated the heat problems that occur during the operation of power batteries, especially thermal runaway, which usually take place in high temperature environments. The study was conducted on a ternary polymer lithium-ion battery. In addition, a lumped parameter thermal model was established to analyze the thermal behavior of the electric bus battery system under the operation conditions of the driving cycles of the Harbin city electric buses. Moreover, the quantitative relationship between the optimum heat transfer coefficient of the battery and the ambient temperature was investigated. The relationship between the temperature rise (T r ), the number of cycles (c), and the heat transfer coefficient (h) under three Harbin bus cycles have been investigated at 30 • C, because it can provide a basis for the design of the battery thermal management system. The results indicated that the heat transfer coefficient that meets the requirements of the battery thermal management system is the cubic power function of the ambient temperature. Therefore, if the ambient temperature is 30 • C, the heat transfer coefficient should be at least 12 W/m 2 K in the regular bus lines, 22 W/m 2 K in the bus rapid transit lines, and 32 W/m 2 K in the suburban lines.

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Section: Selection and Calculation Of The Test Cyclesmentioning

confidence: 99%

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Siyu

Chen

2017

Energies

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“…Although the model presented in this paper does not take the battery degradation into account, previous works have proposed a dynamic degradation model that can be used to prolong the service life of the battery [19].…”

Section: Model Of the Batteriesmentioning

confidence: 99%

Control Scheme of a Concentration Photovoltaic Plant with a Hybrid Energy Storage System Connected to the Grid

Roncero‐Sánchez

Torres²,

Vázquez

2018

Energies

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Abstract:In the last few decades, renewable energy sources (RESs) have been integrated into the electrical grid in order to curb the deficiency of energy owing to, among other factors, the depletion of fossil fuels and the increasing awareness of climate change. However, the stochastic nature of these sources, along with changes in levels of energy consumption, signifies that attention now needs to be paid for energy storage systems (ESSs). One of the most promising RESs is concentration photovoltaic (CPV) energy, owing to the high efficiency obtained and its sustainability regarding environmental issues. However, as CPV systems work only with direct solar radiation, they require ESSs in order to smooth the variations in the energy generated. This paper deals with the integration into the grid of a CPV plant that employs a hybrid ESS (HESS) based on ultracapacitors and batteries. The HESS allows the complete system to inject a constant active power level into the grid and thus flatten the profile of the energy generated. This goal is achieved by using a power electronic topology based on various DC-DC converters and a DC-AC converter, both of which share the same DC link. The control system is tailored in order to decouple the active-power and the reactive-power injections. Simulation results obtained using PSCAD/EMTDC (Power System Computer Aided Design/Electromagnetic Transient Direct Current) show the resulting performance of a 200 kW CPV plant with a hybrid ESS.

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“…A strategy that combines LPF with MOP is used to distribute the power.LPF ensure that the battery bears the low-frequency power, to reduce the current stress and prolong the service time of battery [8]. The low pass filter is achieved by the Eq.1.…”

Section: Distribution Of Powermentioning

confidence: 99%

Research on Control Strategy of Hybrid Energy Storage System in Distributed Generation

Guo¹,

Su-ping²,

Li³

2017

Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

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Abstract. A control strategy which is used in hybrid energy storage system is proposed in this paper. This control strategy has combined low pass filter with multi-objective optimization. Besides, the problems of overcharge, over discharge and limitation of maximum power are considered, which has improved the reliability of the system. The construction of the multi-objective optimization model and the coordination of the multiple protections are introduced in detail. And the advantages of the control strategy are validated by simulation in MATLAB.

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Energy management strategies comparison for electric vehicles with hybrid energy storage system

Cited by 310 publications

References 31 publications

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Control Scheme of a Concentration Photovoltaic Plant with a Hybrid Energy Storage System Connected to the Grid

Research on Control Strategy of Hybrid Energy Storage System in Distributed Generation

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