Abstract: A battery module of the present disclosure includes a plurality of cell stacks spaced apart from each other in a horizontal direction, a plurality of side walls disposed between the plurality of cell stacks and spaced apart from each other in the horizontal direction, and a plate accommodated in a hollow between the plurality of side walls. Each of the plurality of side walls includes a side hole connected to the hollow.

Abstract: Disclosed are a system for modeling energy consumption efficiency of an electric vehicle and a method thereof. The system includes: a communication device that communicates with a plurality of electric vehicles, and a controller that receives a parameter set of an energy consumption efficiency model from the plurality of electric vehicles. The controller determines an average of received parameter sets as an optimal parameter set, and transmits the determined optimal parameter set to the plurality of electric vehicles.

Abstract: A system for modeling energy consumption efficiency of an electric vehicle and a method thereof are disclosed. The system includes a communication device that communicates with a plurality of electric vehicles and includes a controller that receives learning data from the plurality of electric vehicles, learns an energy consumption efficiency model based on the received learning data, and transmits the energy consumption efficiency model in which the learning is completed to the plurality of electric vehicles.

Abstract: Disclosed are a multi-agent-based reinforcement learning system and method therefor. The multi-agent-based reinforcement learning system includes: a slave agent configured to: store a data set collected in each state of a first environment in a first buffer, store a data set received from a master agent in the first buffer, and learn a Q-function based on the data set stored in the first buffer; and the master agent configured to store a data set collected in each state of a second environment in a second buffer; transmit the data set to the slave agent; update a Q-function matched with the slave agent among a plurality of Q-functions; and perform reinforcement learning based on the data set stored in the second buffer.

Abstract: A system for controlling a vehicle battery includes a vehicle which includes a motor that provides a driving force or generates power through regenerative braking and a battery that provides power to the motor and calculates a battery usage according to use of the battery, and a portable terminal which obtains location information of a user, generates a battery charge/discharge guide based on the location information of the user and the battery usage received from the vehicle, and transmits the battery charge/discharge guide to the vehicle, thus minimizing anxiety and inconvenience to users when charging and discharging an electric vehicle, and also minimizing the maintenance cost of the electric vehicle.

Abstract: A dielectric sheet having two layers made of different materials for forming a differential dielectric sheet on a plasma display panel, a plasma display panel using the same, and a manufacturing method therefor.

Abstract: A plasma display panel is disclosed. A method for manufacturing the plasma display panel includes: forming address electrodes and a first dielectric layer on a first substrate; forming barrier ribs by stacking a photosensitive barrier rib material, containing a hybrid binder, on the first substrate, and processing the stacked photosensitive barrier rib material; coating phosphor layers in respective cells defined by the barrier ribs; sequentially forming a plurality of transparent electrodes and bus electrodes, a second dielectric layer, and a protective layer on a second substrate; and bonding the first substrate and the second substrate with each other.