EV Charging Management Engine for Home Charging Reimbursement
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Solution Overview
Problem
Current electric vehicle management systems lack the capability to track and reimburse electrical energy consumption for home charging sessions, as they do not provide gas-station-type receipts for reimbursement and lack infrastructure for comprehensive energy consumption tracking and reimbursement calculations.
Innovation Solution
A charging management engine generates eligibility data to identify eligible electric vehicles for energy consumption tracking, which is communicated to the charging station, allowing for the tracking and calculation of energy consumption reimbursement amounts based on utility data, enabling reimbursement for employees or users charging their vehicles at home.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If energy consumption tracking is implemented for home charging stations, then reimbursement accuracy is improved, but system complexity increases
Solution Approach 1:
A charging management engine is introduced as an intermediary component that coordinates between the charging station, EV, and reimbursement system. This engine generates eligibility data, receives energy consumption tracking data, and calculates reimbursement amounts, thereby managing the complexity centrally rather than distributing it across multiple components.
Solution Approach 2:
The system divides the charging and reimbursement process into distinct operational phases: eligibility determination (generating eligibility data), energy consumption tracking, and reimbursement calculation. Each phase is handled by specific components or protocols, making the overall complex process manageable through segmentation.
2Adaptability or versatility
If comprehensive energy consumption tracking infrastructure is deployed, then reimbursement capability is improved, but implementation cost increases
Solution Approach 1:
The charging management engine serves multiple functions: it generates eligibility data for tracking, receives and processes energy consumption data from various charging stations, and calculates reimbursement amounts. This multi-functionality reduces the need for separate specialized components, thereby lowering implementation costs while maintaining comprehensive reimbursement capability.
Solution Approach 2:
The system enables charging stations and EVs to automatically track and report their own energy consumption data without requiring manual intervention. The charging management engine processes this self-reported data to generate reimbursements, reducing the need for expensive monitoring infrastructure and manual verification processes.
3Reliability
If different charging protocols are executed for tracked and non-tracked EVs, then tracking reliability is improved, but operational complexity increases
Solution Approach 1:
The charging management engine generates eligibility data before the charging session begins, determining in advance whether an EV is eligible for energy consumption tracking. This preliminary classification allows the system to apply the appropriate charging protocol from the start of the session, avoiding mid-session protocol switches and reducing operational complexity.
Solution Approach 2:
The system dynamically selects between different charging protocols based on the EV's eligibility status. The charging management engine adjusts the tracking operations in real-time according to the specific EV and charging station combination, optimizing reliability while adapting to different operational scenarios without requiring fixed complex procedures for all cases.
Data Source
AI summary
Methods, systems, and computer storage media for providing energy consumption tracking data based on tracking energy consumption of a charging station for a charging session of an electric vehicle (EV). The energy consumption tracking data can be used to calculate a reimbursement amount for electrical expenses for recharging the EV at a charging station (e.g., charging station at home). Operationally, eligibility data is received at the charging station, the eligibility data identifies an EV as eligible for energy consumption tracking at the charging station. Based on the eligibility data, a determination is made that the EV is eligible for energy consumption tracking to cause tracking energy consumption associated with charging the EV at the charging station. Based on tracking the energy consumption, energy consumption tracking data is generated for the EV at the charging station, and the energy consumption tracking data comprising a calculated energy consumption reimbursement amount is communicated.