Photovoltaic
HPP New Energy photovoltaic modules have the characteristics of high power, high efficiency, high reliability and high power generation. It has successively launched 410W+ 500W+, 550W+, 600W+, and 620W ultra-high power photovoltaic modules, which are applicable to all scenarios from distributed roofs to large ground power stations. Whether in the manufacturing supply chain or inverter bracket matching, as well as customer value such as BOS and L COE, it has a leading advantage. Non-destructive cutting + high-density packaging + MBB lays a significant foundation for the value of high-efficiency and high-

Energy storage
Battery Management System (BMS) is a lithium battery BMS product developed for the energy storage market. It adopts an expandable design, is lightweight and flexible, supports multi-machine parallel connection, passive balancing within the module, active balancing between modules, super balancing function, customized balancing strategy, high data collection and calculation accuracy, and is equipped with board-level UPS and dual system protection to ensure the safe and efficient operation of the entire battery group. The product consists of a three-level architecture of battery slave control unit (BSU), battery master control unit (MU), and battery cluster control unit (BAU). By obtaining the basic electrical performance parameters of the battery system (voltage, current, temperature, impedance, etc.), it realizes the calculation of battery status such as SOC, SOE, SOH, SOP of the energy storage battery, and at the same time completes the voltage management, charging, discharging, pre-charging control, online diagnosis and early warning, balance management and thermal management of the battery system.HPP energy management system is based on the Internet of Things and the Internet, and adopts intelligent integration and cloud technology to collect energy consumption and operation information data of each energy consumption monitoring point of the energy storage system in real time, and forms statistical data of energy consumption in various dimensions such as classification, itemization, division.