The invention provides an immersion type liquid-cooled
power battery thermal management method and
system based on
big data. The method comprises the following steps: monitoring a preset
power battery pack in real time, collecting
temperature monitoring information, extracting temperature characteristic data,
processing according to the temperature characteristic data, obtaining a temperature state index, judging the temperature state of the
power battery pack, and if the temperature of the power
battery pack is abnormal and too low, determining that the power
battery pack is abnormal. If yes, the heat medium
system and the heating pack
system are started to heat the power
battery pack, characteristic data of the heat medium system are obtained and processed to obtain a heat medium efficiency coefficient, characteristic data of the heating pack system are obtained and processed to obtain a
heating efficiency index, and according to the temperature state index and the heat medium efficiency coefficient, the power battery pack is obtained.
Processing is carried out in combination with the
heating efficiency index, the state index of the battery pack after heating is obtained, the state of the power battery pack is judged, corresponding adjustment is carried out, and therefore the immersion type liquid-cooled power
battery thermal management technology based on
big data is achieved.