Bingxiang Sun

Stepwise segmented charging technique for lithium-ion battery to induce thermal management by low-temperature internal heating

The severe deterioration of performance for the lithium-ion battery(LIB) at low temperatures adversely restricts the feasibility and applicability of LIB for electric vehicle(EV) applications. Therefore preheating batteries to proper temperature is an essential function of an effective battery management system to improve the low temperature performance. A novel internal heating strategy applying stepwise sequences of charging current pulses and constant discharging current amplitude is proposed, based on the first order RC equivalent circuit model and the temperature-rise model of LIB. In view of the developed preheating method, a preheating simulation model of charging current step-growth is established and simulated, and then the method is experimentally validated for rapidity and feasibility. Ultimately, the preheated battery is charged and the capacity charged is 2.30 times larger comparing with non-preheated battery.

A coordinated charging strategy for PV-Assisted charging station of electric vehicles based on charging service price

This paper presents a coordinated charging strategy based on time-of-use (TOU) charging service price, which is aimed at improving the utilization of photovoltaic (PV) and reducing the peak load of the station. Firstly, the price response model of drivers is introduced. Then the optimal model of charging load is constructed with the constraint of transformer capacity and property of periods. Particle swarm optimization is adopted to get division results of coordinated charging periods, as well as optimal solution of TOU price. Finally, simulations are done to verify the optimal strategy and a comparison between this strategy and an existing strategy is made. The results show that the proposed strategy can greatly improve the utilization of photovoltaic and reduce the peak load by TOU charging service price. Meanwhile, the optimization results of optimal load distribution are better than that of average load distribution.

Study of software development method of battery test platform based on Simulink and C

In this paper, we have studied the software control system of battery test platform, focusing on Simulink and C # hybrid programming. At first, we build a simulation model in accordance with the needs of battery test platform. Then, we select RTW tool to generate standard C code after test and verify. Next, we use C# tool and regular expression to write program on the basis of the code to realize the .c files automatically read and .DLL files automatically generation, ultimately realize the strategy and host computer cohesion call. At last the SOC estimation model is purposed to validate the method, the output is fully consistent with the simulation result. This method is suitable for complex strategy on battery test software platform.