scholarly journals Optimal operating strategy of short turning lines for the battery electric bus system

2021 ◽  
Vol 1 ◽  
pp. 100023
Author(s):  
Wenwei Zhang ◽  
Hui Zhao ◽  
Min Xu
Keyword(s):  
Optimal Operating ◽  
Operating Strategy ◽  
Electric Bus ◽  
Bus System

scholarly journals A Novel Simulated-Annealing Based Electric Bus System Design, Simulation, and Analysis for Dehradun Smart City

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 89395-89424 ◽  
Author(s):  
Adarsh Kumar ◽  
P. Srikanth ◽  
Anand Nayyar ◽  
Gaurav Sharma ◽  
Rajalakshmi Krishnamurthi ◽  
...  
Keyword(s):  
Simulated Annealing ◽  
System Design ◽  
Smart City ◽  
Electric Bus ◽  
Bus System

scholarly journals Comparative Calculation of the Fuel–Optimal Operating Strategy for Diesel Hybrid Railway Vehicles

2017 ◽  
Vol 27 (2) ◽  
pp. 323-336
Author(s):  
Maik Leska ◽  
Harald Aschemann ◽  
Michael Melzer ◽  
Michael Meinert
Keyword(s):  
Energy Storage ◽  
Lithium Ion ◽  
Simulation Models ◽  
High Energy ◽  
Hybrid Vehicles ◽  
Optimal Operating ◽  
Railway Vehicles ◽  
Operating Strategy ◽  
Operating Strategies ◽  
The One

Abstract In contrast to road-based traffic, the track as well as the corresponding duty cycle for railways are known beforehand, which represents a great advantage during the development of operating strategies for hybrid vehicles. Hence the benefits of hybrid vehicles regarding the fuel consumption can be exploited by means of an off-line optimisation. In this article, the fuel-optimal operating strategy is calculated for one specified track using two hybrid railway vehicles with different kinds of energy storage systems: on the one hand, a lithium-ion battery (high-energy storage) and, on the other, a double layer capacitor (high-power storage). For this purpose, control-oriented simulation models are developed for each architecture addressing the main effects contributing to the longitudinal dynamics of the power train. Based on these simulation models, the fuel-optimal operating strategy is calculated by two different approaches: Bellman’s dynamic programming, a wellknown approach in this field, and an innovative sensitivity-based optimisation.

Optimal Deployment of Dynamic Wireless Charging Facilities for an Electric Bus System

2017 ◽  
Vol 2647 (1) ◽  
pp. 100-108 ◽  
Author(s):  
Zhaocai Liu ◽  
Ziqi Song ◽  
Yi He
Keyword(s):  
The United States ◽  
Base Station ◽  
Mixed Integer ◽  
Wireless Charging ◽  
Mixed Integer Linear Program ◽  
System A ◽  
Electric Bus ◽  
Design Variables ◽  
Optimal Deployment ◽  
Bus System

Diesel engine buses still make up the majority of the bus fleet in the United States, even with the problem of diesel exhaust and greenhouse gas emissions. Electric buses, which generate no emissions, are a promising green alternative for bus fleets. However, electric buses have a limited travel range and a time-consuming recharging process. Dynamic wireless charging, which allows electric buses to charge while traveling, could alleviate the drawbacks of electric buses. With dynamic wireless charging technology, electric buses can operate with smaller batteries, and the stationary recharging time at the base station can be shortened. The key design variables in deploying dynamic wireless charging facilities for an electric bus system are battery size and the location of the wireless charging facilities. This paper addresses the problem of simultaneously selecting the optimal locations for the wireless charging facilities and designing the battery size for an electric bus system. A mixed integer linear program was developed to minimize the total implementation cost. The model was demonstrated with a real-world bus system. The results demonstrate that the proposed model can solve the optimal deployment problem of dynamic wireless charging facilities for an electric bus system.

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