lithium: lithium Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

lithium Bayesian Network

Description

Fire accident risk analysis of lithium battery energy storage systems during maritime transportation.

Format

A discrete Bayesian network to o evaluate the fire accident risk of lithium battery energy storage system in the process of maritime transportation. Probabilities were given within the referenced paper. The vertices are:

X1

Bad weather condition (True, False);

X2

Improper storage (True, False);

X3

Improper ballast (True, False);

X4

High ship speed (True, False);

X5

Defect of binding equipment (True, False);

X6

Improper maintenance of binding equipment (True, False);

X7

Improper binding (True, False);

X8

Contact accident (True, False);

X9

Collision accident (True, False);

X10

Direct sunlight (True, False);

X11

Stowage adjacent to engine room (True, False);

X12

Stowage adjacent to oil tank (True, False);

X13

High ambient temperature (True, False);

X14

Cargo hold flooding (True, False);

X15

No installation of short-circuit prevention device (True, False);

X16

High humidity (True, False);

X17

Lack of insulation (True, False);

X18

Overcharge (True, False);

X19

Over discharge (True, False);

X20

Defect of separate (True, False);

X21

Burrs on the electrode surface (True, False);

X22

No installation of monitoring devices (True, False);

X23

Monitoring equipment cannot cover all goods (True, False);

X24

Damage of monitoring equipment (True, False);

X25

The monitoring equipment does not have real-time alarm function (True, False);

X26

The crew does not patrol according to regulations (True, False);

X27

Insufficient firefighting equipment (True, False);

X28

Failure of firefighting equipment (True, False);

X29

Firefighting equipment is not suitable for putting out lithium battery fires (True, False);

X30

Crew members are not trained in lithium battery firefighting (True, False);

X31

(True, False);

X1

The crew did not know the correct way to put out the lithium battery fire (True, False);

BindingFailure

(True, False);

ExternalShortCircuit

(True, False);

HighTemperature

(True, False);

Impact

(True, False);

ImproperOperation

(True, False);

InsufficientFirefightingCapacity

(True, False);

InsufficientFireMonitoring

(True, False);

InternalShortCircuit

(True, False);

LBESSCatchFire

(True, False);

LBESSFireAccident

(True, False);

PoorShipStability

(True, False);

ShortCircuit

(True, False);

UnableToPutOutFire

(True, False);

ViolentRolling

(True, False);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Zhang, C., Sun, H., Zhang, Y., Li, G., Li, S., Chang, J., & Shi, G. (2023). Fire accident risk analysis of lithium battery energy storage systems during maritime transportation. Sustainability, 15(19), 14198.

bnRep documentation built on April 12, 2025, 1:13 a.m.