Utilizing real-time information transferring potentials to vehicles to improve the fast-charging process in electric vehicles

Johnson, Jennifer; Chowdhury, Mashrur; He, Yiming; Taiber, Joachim

doi:10.1016/j.trc.2012.10.009

Cited by 25 publications

(19 citation statements)

References 13 publications

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“…Research Article [14]. Over the past few years, interest in connected vehicle has surged dramatically with the development of various VII applications, such as driver assistance systems, collision avoidance systems and smart parking systems, which have been useful in facilitating transportation safety, mobility and driver convenience.…”

Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

“…VII-equipped EVs, or connected EVs, have several unique advantages over current ordinary automobiles and EVs [14]. While the problems with traffic congestion is increasing, connected EV drivers are capable of being diverted from congested areas through embedded onboard assistance systems, which can acquire a variety of real-time information to help motorists adapt each trip based upon their preferences, either the one with the shortest distance, the lowest travel time, or the lowest cost.…”

Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

“…Meanwhile, the battery's SOC can be accurately monitored, as the onboard system will navigate drivers to a proper charging station at an optimal time before the battery is depleted, thereby alleviating range anxiety. Moreover, smart grid growth permits the sharing of grid information between utilities and EVs using information and communication technologies [14]. When the dynamic energy pricing scheme is accessible, CVT can help EV owners optimise recharge timings and save energy cost [15].…”

Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

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Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment

Li¹,

Dey²,

Chowdhury³

et al. 2016

IET Intelligent Transport Systems

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Electric vehicle (EV) charging problem impedes its wide scale commercial adoption. In this study, the authors address this problem through an ant colony optimisation based multiobjective routing algorithm that is dedicated to accommodate EV trips. By using connectivity, EVs communicate with other vehicles and infrastructure components to transmit information in real time for finding the best route, and for intelligently recharging on the move using an inductively coupled power transfer system. Such connected EVs are capable of adapting each trip with the lowest travel time and/or the lowest recharge cost along with an optimal recharge plan to prevent a battery drain. As a case study, a real world roadway network in Charleston, South Carolina was simulated to examine the performance of the routing strategy. Simulation analysis revealed that connected EVs can reduce not only the total travel time and the energy consumption, but also the recharged volume of electricity and corresponding cost, thus significantly relieving the concerns of range anxiety of EV drivers. This routing approach potentially leads to a reduction in the EV battery capacity requirement, which in turn can reduce the cost of energy storage systems to a reasonable level.

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Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

Section: Iet Intelligent Transport Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment

Li¹,

Dey²,

Chowdhury³

et al. 2016

IET Intelligent Transport Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, recent studies suggests that energy management and optimization of Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEVs) can contribute to a sustainable future and improve quality of life in developed countries as well as developing countries, if the source of electricity is renewable (Begley, 2011;Aggeri et al, 2008;Beaume and Midler, 2009;Wu et al, 2012;Gu et al, 2013). CVT can also enhance the operations of EVs by providing real-time connectivity between EVs, charging stations and electricity grid (Johnson et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the performance of vehicle-to-grid (V2G) enabled battery electric vehicles through a smart charge scheduling model

Chowdhury

Bhavsar

et al. 2015

Int.J Automot. Technol.

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A smart charge scheduling model is presented for potential (1) vehicle-to-grid (V2G) enabled battery electric vehicle (BEV) owners who are willing to participate in the grid ancillary services, and (2) grid operators. Unlike most V2G implementations, which are considered from the perspective of power grid systems, this model includes a communication network architecture for connecting system components that supports both BEV owners and grid operators to efficiently monitor and manage the charging and ancillary service activities. This model maximizes the net profit to each BEV participant while simultaneously satisfying energy demands for his/her trips. The performance of BEVs using the scheduling model is validated by estimating optimal annual financial benefits under different scenarios. An analysis of popular BEV models revealed that one of the existing BEVs considered in the study can generate an annual regulation profit of $454, $394 and $318 when the average daily driving distance is 20 miles, 40 miles and 60 miles, respectively. All popular BEV models can completely compensate the energy cost and generate a positive net profit, through the application of the scheduling model presented in this paper, with an annual driving distance of approximately 15,000 miles. Simulation analysis indicated that the extra load distribution from the optimized BEV charging operations were well balanced compared to the unmanaged BEV operations.

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“…Recharging by organization pool users peaked at work during late afternoon (Robinson et al, 2012). Using simulation of a traffic network of EVs in MATLAB in other research, it was found that the total time due to the battery charging process was optimised at both the individual EV and the entire network level for EVs that were able to use connected vehicle communications (Johnson et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Electric vehicle household charging behaviour in Ireland and aims for a carbon neutral electric fleet by 2020

Morrissey

Weldon

O’Mahony

2015

WRITR

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Utilizing real-time information transferring potentials to vehicles to improve the fast-charging process in electric vehicles

Cited by 25 publications

References 13 publications

Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment

Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment

Optimizing the performance of vehicle-to-grid (V2G) enabled battery electric vehicles through a smart charge scheduling model

Electric vehicle household charging behaviour in Ireland and aims for a carbon neutral electric fleet by 2020

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