Lithium ion battery charge state estimation and equalization control method

• Main Authors: JIA YUNHONG, LONG XIANJIANG, BAO WENLIANG, WANG JIAN, GAO XUBIN, CAO JIANWEN, QIAO JIAWEI, JIANG MING, XU LIANBING, TIAN KEJUN, JIN XUEQI, GUO LIQIANG
• Format: Patent
• Language: Chinese; English
• Published: 02.04.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PERFORMING OPERATIONS; PHYSICS; TESTING; TRANSPORTING; VEHICLES IN GENERAL

The invention belongs to the technical field of battery energy consumption control, and solves the problems that the state of charge of a new energy battery vehicle is inconvenient to estimate and the energy utilization efficiency is low. The invention provides a lithium ion battery state-of-charge estimation and equalization control method, which comprises the following steps: establishing a battery equivalent circuit model, and introducing a state variable battery state-of-charge; establishing a battery state-of-charge estimation model based on the BP neural network, and outputting an estimated value of the battery state-of-charge; establishing an optimized particle swarm algorithm based on a battery energy path, and searching an optimal path of battery energy transmission based on an inertia weight adjustment strategy of a fitness function value; and the current output is controlled through the fuzzy controller to obtain the optimal equalizing current. According to the invention, the BP neural network is u