DC FAST CHARGING
Supporting a wide voltage measurement range between 0 to 1000V, the AcuDC 300 delivers on 0.1% revenue-grade accuracy for electric charging billing applications between 60V to 1000V. Ideal for dedicated EV fast charging station infrastructures.
MID CERTIFICATION
AcuDC 300 is MID certified for regulatory compliance within the international markets. In compliance with IEC 62053-41:2021 Class 0.5 and EN50470-4 Class C, the EV charging meter meets or exceeds rigorous accuracy, environmental, and safety testing requirements in accordance to the MID framework. It provides a reliable performance standard, ideal for revenue-grade billing applications.
CABLE LOSS COMPENSATION
AcuDC 300 features cable loss compensation to achieve accurate billing data. The material, length, and width of the charging cable can result in energy loss during the EV charging process. Energy received by the EV may be lower than the amount delivered from the charger due to its natural resistance from the cable. Cable loss compensation factors the power loss and voltage drop caused by the resistance to ensure customers are only charged for the energy received.
OCMF DATA FORMAT
OCMF (Open Charge Metering Format) is a widely used data format developed for exchanging data between EV charging infrastructures and billing systems, promoting transparency and interoperability across the industry. AcuDC 300 supports the OCMF format to ensure standardized communication between devices.
ELECTRONIC METROLOGY SEAL
AcuDC 300 features a two-tier metrology security system to ensure data integrity. An electronic seal which can be enabled and disabled by toggling the switch on the meter. Certain settings are locked and cannot be modified when the seal is on. The seal switch is enclosed under a protective front casing and secured with two seal tabs. Anti-tampering seals can be used to prevent unauthorized tampering.
BUILT-IN DATA LOGGING
The AcuDC 300 includes 3 data loggers and 1 trend logger, and each can be programmed independently to record different real-time metering data and energy usage parameters. The logs are timestamped and stored in a non-volatile memory for data analysis.