Rapid energy management strategy for multi-lithium battery systems considering synergistic balancing of SOC and SOH under time-delay environments

Current multi-lithium battery system (MLBS) balancing methods have the problems of neither considering performance parameter differences nor clarifying the balancing relationship between state of charge (SOC) and state of health (SOH), while the distributed management algorithms exhibit slow iteration speed and poor iteration accuracy. Hence, a rapid energy management strategy is proposed for MLBS to achieve synergistic balancing of SOC and SOH under time-delay environments, incorporating the following actions: First, considering parameters including scale, efficiency and temperature, a battery aging rate evaluation model is constructed to clarify the balancing relationship between SOC and SOH. Based on this, a multi-operational-state synergistic balancing method is designed. Next, causes of slow iteration speed and poor iteration accuracy in the time-delay distributed consensus algorithm (TD-DCA) are identified. By improving the Laplacian matrix and weighting matrix, an improved TD-DCA (ITD-DCA) is proposed. Finally, leveraging the balancing method and ITD-DCA, a energy management strategy for MLBS is devised. Results from various simulations show ITD-DCA's iteration speed and iteration accuracy are enhanced. The strategy accommodates parameters and improves SOC and SOH balancing. Experimental results align with simulations. This work provides a feasible solution for achieving multi-operational-state balancing distributed energy management in MLBS.