Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle

Palwe, MeghRaj V.; Kanjalkar, Pramod

doi:10.1007/978-3-030-33846-6_7

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous works have proposed SS strategies for hybrid vehicles in order to increase mileage and reduce gas emissions [29], [30]. For their SS controllers, different input parameters are considered (e.g.…”

Section: Introductionmentioning

confidence: 99%

Modelagem e simulação de um sistema start/stop para redução de consumo de combustível e emissões de gases poluentes

Silva¹,

Eckert²,

Silva³

et al. 2021

Blucher Engineering Proceedings

View full text Add to dashboard Cite

In the last decades, energy-efficient road transportation has become one of the major concerns of many countries worldwide. Governmental regulation standards are progressively strict with respect to the maximization of vehicle fuel economy as well as the mitigation of tailpipe emissions. In this scenario, the automotive industry has been providing potential alternatives to address this current issue. One of those possible solutions is the start/stop (SS) system, which consists of an engine shutdown strategy that prevents idling operation. Vehicle idling results in a relevant fraction of fuel consumption and air pollutant emissions, especially in urban driving conditions. Therefore, this study aims to simulate a SS system in an internal combustion engine vehicle model in order to evaluate its improvements in fuel consumption and reduction of generated tailpipe gases. The vehicle simulation model is developed in Matlab/Simulink™ environment and the exhaust emissions are quantified by the ADVISOR™ fuel converter block. For a further analysis that takes into account different driving conditions, the vehicle will be analyzed under the FTP-75 driving cycle used in emission evaluation procedure and also under a real-world driving cycle.

show abstract

Section: Introductionmentioning

confidence: 99%

Modelagem e simulação de um sistema start/stop para redução de consumo de combustível e emissões de gases poluentes

Silva¹,

Eckert²,

Silva³

et al. 2021

Blucher Engineering Proceedings

View full text Add to dashboard Cite

show abstract

Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles

Adam¹,

Sathesh²

2021

JSWS

View full text Add to dashboard Cite

With modernization and technology enhancements on a global scale, environmental consciousness has also been increasing in recent days. Various technologies and automobile industries are vandalized with sustainable solutions and green technologies. Transportation via roadways is mostly preferred for distant travel as well, despite the advancements in airways and railways, due to less capital outlay, door to door service possibility in rural areas etc. The conventional fuel vehicles are a huge contributor to environmental pollution. Electric vehicles are an optimal solution to this issue. The lives of the common masses are not impacted largely by the electric vehicles despite their market commercialization since a few decades. It is due to certain challenges associated with the electrical vehicles. A 100% efficient perpetual machine does not exist yet. Predominantly, challenges related to charging, hinders the success of e-vehicles. Frequent charging is required in case of long-distance travel and other scenarios in the existing vehicles. Based on the respective governments, extensive changes are made in the infrastructure to overcome the issues at the charging stations. In this paper, an enhanced wireless charging module for electric vehicles is presented. The use of multiple coils is emphasized for building up energy and transmitting it. The inductive power transfer mechanism and efficiency of the system are improved with the design of a three-phase coil. The mechanism for assessment of the energy consumed in e-vehicles is also discussed.

show abstract

Novel Routing Algorithm for Autonomous Vehicles in Smart Transportation System

Haoxiang¹

2021

JUCCT

View full text Add to dashboard Cite

In recent times Automation is emerging every day and bloomed in every sector. Intelligent Transportation System (ITS) is one of the important branches of Automation. The major constrain in the transportation system is traffic congestion. This slurps the individual’s time and consequently pollutes the environment. A centralized management is required for optimizing the transportation system. The current traffic condition is predicted by evaluating the historical data and thereby it reduces the traffic congestion. The periodic update of traffic condition in each and every street of the city is obtained and the data is transferred to the autonomous vehicle. These data are obtained from the simulation results of transportation prediction tool SUMO. It is proved that our proposed work reduces the traffic congestion and maintains ease traffic flow and preserves the fleet management.

show abstract

Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle

Cited by 3 publications

References 9 publications

Modelagem e simulação de um sistema start/stop para redução de consumo de combustível e emissões de gases poluentes

Modelagem e simulação de um sistema start/stop para redução de consumo de combustível e emissões de gases poluentes

Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles

Novel Routing Algorithm for Autonomous Vehicles in Smart Transportation System

Contact Info

Product

Resources

About