EV Driver App Bluetooth Profile Selection for Accurate Charging Billing

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Solution Overview

Problem

Existing driver applications require manual selection of charging profiles, which can lead to billing errors due to incorrect profile choices, especially when drivers have multiple vehicles or reimbursement varies between work and personal trips.

Innovation Solution

An Electric Vehicle (EV) driver application uses Bluetooth® to identify the connected vehicle through its MAC address and combines this with time and location data to automatically select the appropriate charging profile, ensuring accurate billing based on user profiles and access rights.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual profile selection is implemented, then drivers can choose charging profiles, but billing errors occur due to incorrect profile choices

Engineering Contradiction:
Improvemanual profile selectionVSAvoidbilling accuracy
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system performs automatic profile selection based on Bluetooth device identification, time, and location data without requiring manual driver input. The driver app autonomously determines the appropriate charging profile by matching the detected Bluetooth MAC address, current time, and location against pre-configured profile criteria, thereby eliminating human error in profile selection while maintaining ease of operation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system provides feedback to the driver by displaying the automatically selected profile before charging begins, allowing the driver to verify the selection. This feedback mechanism ensures billing accuracy by enabling driver confirmation while maintaining the benefits of automated selection, resolving the contradiction between ease of operation and reliability.

Inventive Principle:
Principle #23Feedback

2Reliability

If automated profile selection is implemented, then billing accuracy improves, but system complexity increases

Engineering Contradiction:
Improvebilling accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Charging profiles are pre-configured with specific criteria including Bluetooth device identifiers, time ranges, and location parameters. This preliminary setup eliminates the need for complex real-time decision-making algorithms during charging sessions, as the system simply matches current conditions against pre-defined profile criteria, thereby improving billing accuracy without significantly increasing operational complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses a single Bluetooth MAC address identifier to universally identify vehicles and associate them with appropriate profiles. This universal identification method simplifies the system architecture by avoiding the need for multiple identification mechanisms, reducing overall system complexity while maintaining high billing accuracy through automated profile selection.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If Bluetooth-based automatic identification is used, then profile selection accuracy improves, but time for charging session setup increases

Engineering Contradiction:
Improveprofile selection accuracyVSAvoidcharging session setup time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The Bluetooth connection between the driver's mobile device and the vehicle infotainment system is maintained continuously throughout the charging session. The system continuously monitors the Bluetooth connection status and automatically retrieves profile information without requiring repeated pairing or connection establishment, thereby achieving accurate profile selection through continuous Bluetooth-based identification while minimizing setup time.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system replaces manual mechanical actions (physical profile selection, button pressing, and navigation through menus) with automated electronic processes. The Bluetooth-based automatic identification system electronically retrieves and applies the correct profile without requiring physical driver interaction, thereby improving profile selection accuracy while reducing the time required for charging session setup by eliminating manual operations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250381877A1Electric vehicle (EV) driver application (APP) uses bluetooth® to identify a bluetooth® and time/location-based driver charging profile for its automatic selection in a charging session
Publication Date: 2025.12.18 SIEMENS AG
  • US20250381877A1 patent drawing
  • US20250381877A1 patent drawing
  • US20250381877A1 patent drawing

AI summary

A system comprises an EV with an infotainment unit, a driver App, an electric mobility service provider (eMSP) cloud and a user charging profile database to identify a Bluetooth® and time/location-based driver charging profile for its automatic selection in a charging session. The driver App is configured to communicate with the infotainment unit via a Bluetooth® interface such that a Bluetooth® MAC address being assigned to each device connected to a network is used to identify a vehicle ID and a mobile device location is used as a proxy for a vehicle location. The eMSP cloud is configured to receive the vehicle ID and the vehicle location. The user charging profile database including user charging profiles. The driver App includes a Bluetooth® plus time-based profile automatic selector for a charging session to automatically select a proper user charging profile based on the MAC address plus a day/time/location-based pre-configuration.