3rd ICAI 2024

International Conference on Automotive Industry 2024

Mladá Boleslav, Czech Republic

tasks and resources, allowing for efficient use of energy by controlling the operation of these devices according to current needs. Meanwhile, the variable indicating loading capacity has a direct impact on energy usage. Optimal utilization of this capacity can lead to cost reduction associated with energy efficiency and potentially reducing energy load variation. All these variables, analyzed in the context of electricity usage, provide crucial information for decision-making regarding the optimization of processes and resources to effectively manage energy consumption and operational costs. Monitoring and analyzing them can lead to greater energy efficiency and a reduction in the negative impact on the environment. The Table 1 presented below provides a summary of the variables with their description. For the variables presented, 240 records representing the values of binary and continuous states were collected. Table 1: Variable characteristic by groups Variable_group Type Description

Level of deviation

Count

Subgroups

DEPENDENT VARIABLE DEPENDENT VARIABLE DEPENDENT VARIABLE PREDICTOR – BINARY

2 2

-

Max load on supply source – shift period Avarage load on supply source – shift period Standard deviation on power supply source – shift period

MAX_LOAD

2 2

-

AVARAGE_LOAD

2 2

-

LOAD_STANDARD _DEVIATION

8 2 LOW Represent continuous lead casting and mold casting machines

CASTING _MACHINES

PREDICTOR – BINARY

3 0

Represents high consumption elements of electrodes manufacturing including, pre drying high temperature tunnel and paste mixing(source of momentum power load),

ELECTRODES _MANUFACTURING

HIGH

PREDICTOR – BINARY

3 0 LOW Represents battery assembly lines including, cover sealing and lug casting 3 0 LOW Represents finishing lines – confectioning with battery washing machines

ASSEMBLY LINES

PREDICTOR – BINARY

FINISHING_LINES

PREDICTOR – CONTINUOUS

6 3

The number of resources used for battery formation on shift split by subgroups. Two types of formation – high load formation using circular electrolyte method and high capacity tank method.

FORMATION _RESOURCES

HIGH

PREDICTOR – CONTINUOUS

3 3 LOW The sum of Ah charging during the shift by formation subgroups

FORMATION _CAPACITY_USED

Source: Own elaboration

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