View source for 18579413. Method and Device for Estimating a Departure Time for use in an Intelligent Charging Process of Electric Vehicles simplified abstract (Robert Bosch GmbH)

=Method and Device for Estimating a Departure Time for use in an Intelligent Charging Process of Electric Vehicles=


==Organization Name==

[[:Category:Robert Bosch GmbH|Robert Bosch GmbH]]


[[Category:Robert Bosch GmbH]]

==Inventor(s)==

[[:Category:Tjark Thien of Stuttgart (DE)|Tjark Thien of Stuttgart (DE)]][[Category:Tjark Thien of Stuttgart (DE)]]

==Method and Device for Estimating a Departure Time for use in an Intelligent Charging Process of Electric Vehicles - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18579413 titled 'Method and Device for Estimating a Departure Time for use in an Intelligent Charging Process of Electric Vehicles

The abstract describes a method for determining the most probable departure time specification of an electric vehicle from a building to optimize charging strategy for the vehicle's energy storage device.

* The method involves using a data-based departure time model trained on calendrical time specifications and temporal load variable curves of vehicle-external load variables within a specified time period.
* The load variable curves represent the usage of energy loads such as domestic appliances and heating systems in the building.
* By analyzing the data-based model, the departure time specification can be determined based on the calendrical time specification and load variable curves within the specified period.

Potential Applications:
- Efficient charging strategies for electric vehicles
- Energy optimization in buildings
- Smart grid integration

Problems Solved:
- Uncertainty in determining optimal departure times for electric vehicles
- Lack of coordination between vehicle charging and building energy usage

Benefits:
- Reduced energy costs
- Improved grid stability
- Enhanced user convenience

Commercial Applications:
Title: "Smart Charging Solutions for Electric Vehicles"
This technology can be applied in smart home systems, electric vehicle charging stations, and energy management software for commercial buildings.

Questions about the technology:
1. How does the data-based departure time model improve charging efficiency for electric vehicles?
2. What are the key factors influencing the determination of departure time specifications in the method?

Frequently Updated Research:
Stay updated on advancements in electric vehicle charging technology, smart grid integration, and energy management systems for buildings to enhance the efficiency of this method.


==Original Abstract Submitted==

A method is disclosed for ascertaining a departure time specification, which indicates the most probable departure time specification of an electric vehicle from a building, in order to determine a charging strategy for an electric energy storage device of the electric vehicle. The method includes providing a data-based departure time model which is trained to provide a departure time specification on the basis of a calendrical time specification and on the basis of one or more temporal load variable curves of vehicle-external load variables within a specified period of time. The one or more variable curves characterizes the usage of one or more energy loads, in particular a domestic appliance and/or a heating and hot water system, of the building. The method further includes analyzing the data-based departure time model by specifying the calendrical time specification and the one or more load variable curves within the specified period of time in order to determine the departure time specification.



[[Category:G06Q10/0631]]
[[Category:G06Q50/40]]
[[Category:CPC_G06Q10/06315]]