The invention discloses a path
planning method for a
new energy logistics vehicle in a zero-carbon park, and the method comprises the following steps: generating an
initial distribution path and a charging demand node based on the real-time remaining electric quantity, the cargo
load capacity and a
dynamic energy consumption prediction model of the
new energy logistics vehicle; performing
charging station priority optimization on the initial path according to the real-time occupancy state of the charging facility in the zero-carbon park and a vehicle remaining electric quantity threshold value, and generating a dynamic adjustable path set; based on
historical distribution data, real-time
traffic flow and
weather condition input, performing congestion probability evaluation and
energy consumption correction on the dynamic adjustable path set, and outputting a space-
time optimal path scheme; and according to the logistics task allocation weight, the vehicle
load capacity constraint and the cargo distribution characteristics, performing multi-target collaborative scheduling on the space-
time optimal path scheme, generating a final path planning instruction, and updating a vehicle task
queue in real time. According to the invention,
new energy vehicle path dynamic optimization is realized, charging efficiency and transport capacity configuration are improved, and environmental adaptability is enhanced.