High-Voltage Electric Water Pump for the Application of Electric Vehicle—Modeling, Design and Analysis

Author(s):  
Aneesh Jategaonkar ◽  
N. C. Lenin
2021 ◽  
Vol 1964 (5) ◽  
pp. 052016
Author(s):  
L. Annie Isabella ◽  
Y. Alexander Jeevanantham ◽  
Chandla Ellis ◽  
R. Kameshwaran

2021 ◽  
Vol 1116 (1) ◽  
pp. 012103
Author(s):  
P Chatterjee ◽  
J Singh ◽  
R Singh ◽  
Y A R Avadh ◽  
S Kanchan

2013 ◽  
Vol 2013 ◽  
pp. 1-12
Author(s):  
Qiang Jiaxi ◽  
Yang Lin ◽  
He Jianhui ◽  
Zhou Qisheng

Batteries, as the main or assistant power source of EV (Electric Vehicle), are usually connected in series with high voltage to improve the drivability and energy efficiency. Today, more and more batteries are connected in series with high voltage, if there is any fault in high voltage system (HVS), the consequence is serious and dangerous. Therefore, it is necessary to monitor the electric parameters of HVS to ensure the high voltage safety and protect personal safety. In this study, a high voltage safety monitor system is developed to solve this critical issue. Four key electric parameters including precharge, contact resistance, insulation resistance, and remaining capacity are monitored and analyzed based on the equivalent models presented in this study. The high voltage safety controller which integrates the equivalent models and control strategy is developed. By the help of hardware-in-loop system, the equivalent models integrated in the high voltage safety controller are validated, and the online electric parameters monitor strategy is analyzed and discussed. The test results indicate that the high voltage safety monitor system designed in this paper is suitable for EV application.


2007 ◽  
Vol 1 (1) ◽  
pp. 236-243 ◽  
Author(s):  
Aiman Nouh ◽  
Mouhcine Chami ◽  
Abdesslem Djerdir ◽  
Mohammed El Bagdouri

Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


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