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        Dynamic power distribution strategy using multi‑objective collaborative optimization for hybrid energy storage systems

        Yuqing Shao,Hongjuan Zhang,Yan Gao,Baoquan Jin 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.10

        This paper proposes a dynamic power distribution strategy for the hybrid energy storage systems (HESSs) in electric vehicles (EVs). First, the power loss of a HESS is analyzed based on its structure and model. Second, the optimal objectives for EV range extension, battery degradation mitigation, and HESS energy loss reduction are set, and the corresponding optimization variables are determined. Then, a multi-objective collaborative optimization (MOCO) function is established. It is furthertransformed into a linear programming problem with the battery current as the control variable. Finally, the dynamic power distribution scheme is obtained by analyzing the MOCO problem. The dynamic power distribution strategy using the MOCO is studies through simulations and experiments under the worldwide harmonized light vehicles test cycle. The obtained results indicate that the performances of the three optimal objectives are collaboratively improved.

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        Power flow predictive model control to improve the efficiency of regenerative energy storage and utilization

        Sun, Shizhen,Zhang, Hongjuan,Wang, Xiaoji,Gao, Yan,Jin, Baoquan The Korean Institute of Power Electronics 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.10

        In dual-motor drive systems, a supercapacitor is connected to a common direct current (DC) bus through a DC/DC converter for the storage and utilization of regenerative energy, which is an effective energy saving method. However, the uncoordinated control of this type of system results in undesirable power circulation and reduced energy utilization efficiency. In this paper, an optimal power tracking control strategy based on a power flow predictive model is proposed. The power flow of the system is analyzed and a power flow predictive model is established. In addition, an objective function is deduced from the perspective of optimal performance tracking and minimum grid side energy consumption. The reference power of a supercapacitor is obtained in real time under constraints. The power flows among the grid side, the motors, and the energy storage unit are fully coordinated to realize a reasonable energy distribution. Experimental results indicate that the energy utilization efficiency of the system is improved by 25.4% in comparison with double closed-loop control in one working period.

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