In recent years, China attaches great importance to the development of new energy vehicle industry including new energy logistics vehicles. At the same time, a large number of new energy logistics vehicle operators have emerged in the logistics industry, most of whom have a more keen sense of industry development and policies. Shanghai Jietai New Energy Automobile Co., Ltd. is a supplier of overall e-Mobility solutions for new energy vehicles, and vigorously develops the field of new energy logistics vehicles with advanced concepts.
In order to better carry out the logistics service of new energy vehicles, Sicon Chat Union(SCU) participated in the construction and operation of the Shanghai Renewable Energy Charging Station in 2017. The EV charging station adopts a Split Type DC Charging Solution, DC charging stack+ charger post with dynamical power distribution function, and logistics vehicles in the station Provide 24-hour uninterrupted charging service. In addition, the station integrates new green concepts of solar and energy storage, combined with energy storage batteries, effectively guarantees the power supply capacity of the station, and makes full use of the peak and valley electricity prices, which greatly saves the operating cost of the station.
Sicon Renewable Energy Charging Station adopts a modular and standardized design, consisting of PV modules, energy storage batteries, bi-directional PCS and charging equipment, which can grow dynamically according to user needs, to realize the priority use of new energy, and at the same time to obtain benefits through diversified channels under situation of no car.
The modular and standardized structural design of lithium battery systems and bidirectional Power Conversion System(PCS) is an important prerequisite for the application of renewable energy and an effective means to achieve interactive management of the power grid. Energy storage equipment is used to achieve peak shaving and valley filling of the power grid and prioritized utilization of new energy, rational allocation of resources, and optimization of investment return ratio.