EV usage and city planning of charging station installations

Yang, Huawei; Gao, Yu-Ji; Farley, Kathleen Blair; Jerue, Mike; Perry, Jason; Tse, Zion Tsz Ho

doi:10.1109/wpt.2015.7139139

Cited by 13 publications

(3 citation statements)

References 6 publications

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“…As a result, charging station placement is not a very time-sensitive activity. However, the academic consensus is different because it is often necessary to run these algorithms hundreds of times with different kinds of objective functions, constraints, traffic models, and demand maps [17]. With a small change in the city layout, all these simulations need to be run again.…”

Section: Introductionmentioning

confidence: 99%

PC-ILP: A Fast and Intuitive Method to Place Electric Vehicle Charging Stations in Smart Cities

Bose,

Dutta,

Shrivastava

et al. 2023

Smart Cities

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The widespread use of electric vehicles necessitates meticulous planning for the placement of charging stations (CSs) in already crowded cities so that they can efficiently meet the charging demand while adhering to various real-world constraints such as the total budget, queuing time, electrical regulations, etc. Many classical and metaheuristic-based approaches provide good solutions, but they are not intuitive, and they do not scale well for large cities and complex constraints. Many classical solution techniques often require prohibitive amounts of memory and their solutions are not easily explainable. We analyzed the layouts of the 50 most populous cities of the world and observed that any city can be represented as a composition of five basic primitive shapes (stretched to different extents). Based on this insight, we use results from classical topology to design a new charging station placement algorithm. The first step is a topological clustering algorithm to partition a large city into small clusters and then use precomputed solutions for each basic shape to arrive at a solution for each cluster. These cluster-level solutions are very intuitive and explainable. Then, the next step is to combine the small solutions to arrive at a full solution to the problem. Here, we use a surrogate function and repair-based technique to fix any resultant constraint violations (after all the solutions are combined). The third step is optional, where we show that the second step can be extended to incorporate complex constraints and secondary objective functions. Along with creating a full software suite, we perform an extensive evaluation of the top 50 cities and demonstrate that our method is not only 30 times faster but its solution quality is also 36.62% better than the gold standard in this area—an integer linear programming (ILP) approach with a practical timeout limit.

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Section: Introductionmentioning

confidence: 99%

PC-ILP: A Fast and Intuitive Method to Place Electric Vehicle Charging Stations in Smart Cities

Bose,

Dutta,

Shrivastava

et al. 2023

Smart Cities

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show abstract

“…Since the concept of magnetic coupled resonant wireless power transfer (MCR-WPT) was proposed by MIT in 2007, the technology has developed rapidly and has been widely applied in implantable medical devices, home appliances, mobile devices and electric vehicles [1][2][3][4][5][6][7][8]. Increasing transmission power is particularly important for wireless charging of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Compensation Parameters Optimization of Wireless Power Transfer for Electric Vehicles

Chu

et al. 2020

Electronics

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For wireless charging of electric vehicles (EVs), increasing the output power level is particularly important. In this paper, the purpose of improving the output power while maintaining optimal transmission efficiency is achieved by optimizing the parameters of the compensation topology under the premise that the coupled coils of the system does not need to be redesigned. The series-series (SS) and hybrid-series-parallel (LCC, composed by an inductor and two capacitors) compensation topology are studied. The influence factors of load resistance to achieve optimal efficiency, the influence of LCC compensation parameters on the power output level, and the influence of parameter changes on system safety are analyzed. Theorical results show that by rationally designing the LCC compensation parameters, larger output power and optimal transfer efficiency can be achieved under different load resistance by adjusting the inductances of the primary and secondary compensation circuits. The output power of the optimized system with adjusted LCC compensation topology is increased by 64.2% with 89.8% transfer efficiency under 50 ohms load in experiments. The correctness and feasibility of this parameter design method are verified by both theorical and experimental results.

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“…Ninth, Tighter controls for security and privacy protection. The tenth, integrated multi-network convergence node and the entrance of the Vehicle Internet (Huawei, 2020). In the future, power plants with renewable energy sources will develop electric vehicles that can be recharged with the electrical energy produced by these plants (Kumara & Sukerayasa, 2009).…”

Section: Introductionmentioning

confidence: 99%

Innovation and Technology Readiness Level of Mobile Charging Station Swap Battery: A Conceptual Study

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Electric vehicles can reduce pollution and lower the use of fossil fuel. However, currently, in Indonesia, the supporting infrastructure for electric motorcycles is still very limited. The lack of infrastructure charging station for electric motorcycles causes some problems for the community to access power. This research develops an idea of mobile charging station swap battery technology (MCSSB). Apart from preparing infrastructure battery swap for the community, MCSSB can be used as commercialization equipment for entrepreneurs. This study aims to determine the Technology Readiness Level (TRL) of MCSSB. The results of the development of technological innovations are at the feasibility study stage. It means that attention should be paid to the aspects for technological feasibility, such as operational aspects, market aspects, environmental aspects, and organizational aspects. The TRL calculation is at level 5, which means that the code validation and components are in a simulation environment.

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EV usage and city planning of charging station installations

Cited by 13 publications

References 6 publications

PC-ILP: A Fast and Intuitive Method to Place Electric Vehicle Charging Stations in Smart Cities

PC-ILP: A Fast and Intuitive Method to Place Electric Vehicle Charging Stations in Smart Cities

Compensation Parameters Optimization of Wireless Power Transfer for Electric Vehicles

Innovation and Technology Readiness Level of Mobile Charging Station Swap Battery: A Conceptual Study

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