The invention relates to the technical field of electric forklift
battery pack management, and discloses an electric forklift
battery pack management method based on a
genetic algorithm, which comprises the following steps of: firstly, acquiring single
voltage, current, temperature, SOC (
State of Charge) and working load data of an electric forklift
battery pack through a sensor network; judging whether the
voltage or the temperature of the single body is out of limit or not, if the
voltage or the temperature of the single body is out of limit, immediately
cutting off a charging and discharging loop through a hardware circuit, otherwise, judging whether a trigger event is generated or not, if the trigger event occurs, optimizing parameters by utilizing a
genetic algorithm, and if the trigger event does not occur, stopping the charging and discharging loop; according to the method, when a specific trigger event occurs, the
management strategy is switched from
fuzzy logic dynamic adjustment to
genetic algorithm optimization, so that the high efficiency of
daily operation is ensured, the re-optimization of global parameters is realized at key opportunities, and the
management strategy is more intelligent and efficient.