Review of energy storage systems for electric vehicle applications: Issues and challenges

Hannan, M. A.; Hoque, Mohammed Mozammel; Mohamed, Azah; Ayob, Afida

doi:10.1016/j.rser.2016.11.171

Cited by 745 publications

(356 citation statements)

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“…Sci. 2017, 7, 1002 6 of 16 (8) Steps (6) and (7) are respectively repeated four times alternately. From the above experimental steps, it can be seen that the HPPC test can be implemented along with the open circuit voltage test described by Section 2.3.1.…”

Section: Ohmic Resistancementioning

confidence: 99%

“…Lithium-ion batteries have been widely used in mobile phones, digital cameras, laptops, other portable consumer electronics, and renewable energy storage [5,6]. With the continuous development and improvement of science and technology, the application range of lithium-ion batteries has further widened to the electric power, aerospace, military, and other critical fields [7,8]. Lithium-ion batteries have become core components of energy supply for many critical devices or systems, and are often critical to the reliability and functionality of the overall system [3,8].…”

Section: Introductionmentioning

confidence: 99%

“…With the continuous development and improvement of science and technology, the application range of lithium-ion batteries has further widened to the electric power, aerospace, military, and other critical fields [7,8]. Lithium-ion batteries have become core components of energy supply for many critical devices or systems, and are often critical to the reliability and functionality of the overall system [3,8]. However, consequences of battery failure could range from inconvenience to catastrophic failure; for example, NASA's Mars Global Surveyor stopped running due to battery failure in November 2006.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

et al. 2017

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Equivalent circuit models are a hot research topic in the field of lithium-ion batteries for electric vehicles, and scholars have proposed a variety of equivalent circuit models, from simple to complex. On one hand, a simple model cannot simulate the dynamic characteristics of batteries; on the other hand, it is difficult to apply a complex model to a real-time system. At present, there are few systematic comparative studies on equivalent circuit models of lithium-ion batteries. The representative first-order resistor-capacitor (RC) model and second-order RC model commonly used in the literature are studied comparatively in this paper. Firstly, the parameters of the two models are identified experimentally; secondly, the simulation model is built in Matlab/Simulink environment, and finally the output precision of these two models is verified by the actual data. The results show that in the constant current condition, the maximum error of the first-order RC model is 1.65% and the maximum error for the second-order RC model is 1.22%. In urban dynamometer driving schedule (UDDS) condition, the maximum error of the first-order RC model is 1.88%, and for the second-order RC model the maximum error is 1.69%. This is of great instructional significance to the application in practical battery management systems for the equivalent circuit model of lithium-ion batteries of electric vehicles.

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Section: Ohmic Resistancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

et al. 2017

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“…The most significant obstacle in the way of the transition from conventional vehicles to electric vehicles (EVs) is the under-developed traction battery technology [1,2]. As this transition takes place, most technology road maps and policy trends indicate that plug-in hybrid electric vehicles (PHEVs) will dominate the passenger vehicles markets in the next decade [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Improving the Performance Attributes of Plug-in Hybrid Electric Vehicles in Hot Climates through Key-Off Battery Cooling

et al. 2017

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Ambient conditions can have a significant impact on the average and maximum temperature of the battery of electric and plug-in hybrid electric vehicles. Given the sensitivity of the ageing mechanisms of typical battery cells to temperature, a significant variability in battery lifetime has been reported with geographical location. In addition, high battery temperature and the associated cooling requirements can cause poor passenger thermal comfort, while extreme battery temperatures can negatively impact the power output of the battery, limiting the available electric traction torque. Avoiding such issues requires enabling battery cooling even when the vehicle is parked and not plugged in (key-off), but the associated extra energy requirements make applying key-off cooling a non-trivial decision. In this paper, a representative plug-in parallel hybrid electric vehicle model is used to simulate a typical 24-h duty cycle to quantify the impact of hot ambient conditions on three performance attributes of the vehicle: the battery lifetime, passenger thermal comfort and fuel economy. Key-off cooling is defined as an optimal control problem in view of the duty cycle of the vehicle. The problem is then solved using the dynamic programming method. Controlling key-off cooling through this method leads to significant improvements in the battery lifetime, while benefiting the fuel economy and thermal comfort attributes. To further improve the battery lifetime, partial charging of the battery is considered. An algorithm is developed that determines the optimum combination of key-off cooling and the level of battery charge. Simulation results confirm the benefits of the proposed method.

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“…The real reduction of air pollutions through the use of EV is actually depends on how the electricity is generated. The optimal use of energy storage systems (ESSs) has however, not been achieved, with regard to their safety, size, cost, and overall management issues, which indicates the challenges that the EV systems are facing now [15].…”

mentioning

confidence: 99%

Essential Tasks to Reduce Environmental Pollution in Urban Transportation Networks

Qiao¹,

Li²,

Yu³

2017

Environ Pollut Climate Change

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Environmental pollution in Urban Transportation NetworksIn the past decades, extensive research efforts have been made in the area of urban environment striving to improve the urban air quality and address the challenges emerged from public health and the preservation of the entire ecological system. Transportation-related emissions are the dominant source of urban air pollution, and the second largest source of carbon dioxide (CO 2 ) emissions in the United States, which emitted approximately 27 percent of total U.S. greenhouse gas (GHG) emissions in 2015 (Figure 1). Transportation has also been the fastest-growing source of GHG emissions. From the pre-industrial era (i.e., ending about 1750) to 2015, concentrations of the greenhouse gases (CO 2 , CH 4 , and N 2 O) have increased globally by 44 percent, 162 percent, and 21 percent, respectively [1].The greenhouse gas (GHG) emissions primarily come from burning fossil fuel for all modes of transportation (vehicles, ships, trains, and planes) [2]. Petroleum based fuel took over 90 percent for transportation, including gasoline and diesel fuels. Most of the transportation related GHG emissions are carbon dioxide (CO 2 ) emissions resulting from the combustion of petroleum-based fuels. More than 50 percent of transportation related GHG emissions are from passenger vehicles, lightduty trucks, sport utility vehicles, pickup trucks, and minivans. Other portions of GHG emissions are from heavy-duty trucks, commercial aircraft, ships, boats, trains, pipelines, and lubricants.In addition to GHG emissions, transposition also makes contributions to important air pollutants (68.4 percent CO, 60 percent VOCs, 49.1 percent NO x , 5.5 percent particulates and 1.3 percent SO 2 ) [3][4][5]. Moreover, NO x is not only a primary air pollutant, but also accounted for the production of free radicals in troposphere, which can promptly react with VOCs and lead to a large variety of secondary air pollutants that could be much more hazardous to the public health than the primary air pollutants in urban environments [3][4][5]. Dirty air has been linked to cancer, asthma, stroke and heart disease, among other health issues. In UK, roughly 40,000 deaths each year can be attributable to outdoor air pollution [6,7]. Curbing vehicle emissions has become an increasingly important task in urban environment. Monitoring and Strategies to Reduce Transportation EmissionsIn response to these challenges, a range of emerging technologies are adopted to reduce transportation-related emissions on urban roadway networks. Existing traffic monitoring networks enable adaptive traffic AbstractThis article reviewed the impacts of vehicle emissions in urban transportation network, the existing strategies to reduce such transportation emissions, the complexity of urban transportation environment network, and the development of vehicle emission models. The vanguard research needs are also proposed in developing emission and air quality models and simulation, and emission-oriented transportation management strat...

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Review of energy storage systems for electric vehicle applications: Issues and challenges

Cited by 745 publications

References 118 publications

Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

Improving the Performance Attributes of Plug-in Hybrid Electric Vehicles in Hot Climates through Key-Off Battery Cooling

Essential Tasks to Reduce Environmental Pollution in Urban Transportation Networks

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