Onboard Energy Storage System: Ground Fault Detection and Protection

Author(s):  
Jason Krause ◽  
John McPhee

Several Authorities are procuring Hybrid Streetcars with OESS. The energy storage system needs to be protected from ground faults, external and internal to the vehicle. A Hybrid Streetcar has an OESS consisting of either Lithium Batteries or super capacitors, with an OESS converter connected to, or integrated with, the Traction Inverter. During a ground fault of the high voltage circuit, the freewheeling diode in an OESS charger creates a fault path between the energy storage elements and ground. Typical vehicle designs use a fuse for catastrophic protection, depending on the vehicle ground fault scheme for detection and protection. The vehicle’s primary ground fault detection device is an HSCB, usually connected between the shop switch and traction inverter; the auxiliary inverter is typically protected using a fuse. An HSCB is able to protect typical fault currents seen within the traction chain, but is not designed for OESS fault currents. If a fault occurs the fuse for the catastrophic protection of the OESS will blow before the HSCB will trip, potentially damaging equipment, making the vehicle inoperable. This paper compares alternative methods which can be deployed to detect and protect the OESS from a ground fault.

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Wang ◽  
Chunli Liu ◽  
Jianrui Sun ◽  
Kun Zhao ◽  
Licheng Wang ◽  
...  

This paper studies the state of charge (SOC) estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles. According to the energy storage principle of the electric vehicle composite energy storage system, the circuit models of supercapacitors and lithium batteries were established, respectively, and the model parameters were identified online using the recursive least square (RLS) method and Kalman filtering (KF) algorithm. Then, the online estimation of SOC was completed based on the Kalman filtering algorithm and unscented Kalman filtering algorithm. Finally, the experimental platform for SOC estimation was built and Matlab was used for calculation and analysis. The experimental results showed that the SOC estimation results reached a high accuracy, and the variation range of estimation error was [−0.94%, 0.34%]. For lithium batteries, the recursive least square method is combined with the 2RC model to obtain the optimal result, and the estimation error is within the range of [−1.16%, 0.85%] in the case of comprehensive weighing accuracy and calculation amount. Moreover, the system has excellent robustness and high reliability.


2013 ◽  
Author(s):  
Bryan Whitney Belt ◽  
Adam Fogarty ◽  
Kevin Oswald ◽  
Gregory Shaver ◽  
Peter Meckl ◽  
...  

2016 ◽  
Vol 28 (11) ◽  
pp. 2238-2243 ◽  
Author(s):  
Jan Winsberg ◽  
Tobias Janoschka ◽  
Sabine Morgenstern ◽  
Tino Hagemann ◽  
Simon Muench ◽  
...  

2019 ◽  
Author(s):  
Jian Luo ◽  
Yujing Bi ◽  
Liping Zhang ◽  
Xiaoyin zhang ◽  
Tianbiao Liu

Mg batteries are a promising energy storage system because of physicochemical merits of Mg metal as an anode material. However, the lack of electrochemically and chemically stable magnesium electrolytes impedes the development of Mg batteries. In this study, a newly designed chloride-free magnesium fluorinated pinacolatoborate, Mg[B((CF<sub>3</sub>)<sub>4</sub>C<sub>2</sub>O<sub>2</sub>)<sub>2</sub>]<sub>2</sub>(abbreviated as <b>Mg-FPB</b>), was synthesized by convenient methods from commercially available reagents and fully characterized. The <b>Mg-FPB</b>electrolyte delivered outstanding electrochemical performance, specifically, 95% coulombic efficiency and 197 mV overpotential for reversible Mg deposition, and anodic stability up to 4.0 V vs Mg. The <b>Mg-FPB</b>electrolyte was applied to demonstrate a high voltage rechargeable Mg/MnO<sub>2</sub>battery with a discharge capacity of 150 mAh/g.


2013 ◽  
Author(s):  
Laura Nash ◽  
Jonathan Nibert ◽  
Zachariah Chambers ◽  
Marc Herniter

2001 ◽  
Vol 37 (1) ◽  
pp. 242-247 ◽  
Author(s):  
T.A. Aanstoos ◽  
J.P. Kajs ◽  
W.G. Brinkman ◽  
H.P. Liu ◽  
A. Ouroua ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document