Improving Charging Time of Li-Ion Batteries Using Non-Linear Controller

Abstract

Among lead acid, nickel-cadmium and other technologies, lithium-ion Batteries are the most popular type because of their superior performance evidenced by very high energy and power density, a long lifecycle, low discharge rates, high reliability, no toxicity and exceptional efficiency. Nevertheless, time spent on refilling lithium-ion batteries while the charge lasts is the single biggest obstacles to the adoption of electric vehicles (EVs). This thesis presents a new fast-charging implementation called fuzzy logic fast charging, for lithium-ion batteries which is capable of monitoring and controlling the charging currents while the batteries are being charged, in real-time and so quickly. Similarly, it also contains a blocking cut-off section and a unit which will control the temperature to avoid any other side effects when using rapid charging. The method suggested also includes measures like overvoltage protection and temperature regulation signals. Extended testing confirmed a 23.33 % shorter charging duration compared with the current technology. The consequent implementation of this approach that’s supported by Arduino and MATLAB Simulink at real-time renewable energy for charging mobile phones and laptops amongst other uses, looks quite empowering in the large-scale deployment of EVs. The thesis discusses the challenge of the prolonged charge timing and presents the developed quick charging technique that increases the charging rate of lithium-ion batteries but is not related to a reduction in efficiency or capacity thus, has exceeded the limits of the conventional charging method.