Fault Tolerance Optimization of a Lithium Battery Pack Having a Damaged Unit

[Image: see text] As a kind of green and sustainable technology, electric vehicles are continuously highlighted for solving the significant problems of energy and air pollution. In this paper, fault tolerance optimization of an air-cooled lithium battery pack having a damaged unit was considered to improve the heat dissipation performance. For constructing the relationship between the objective function and the design variables, a quadratic polynomial response function was set up based on the experimental points, which were selected by the Latin-hypercube design of experiment method. Then, a multi-island genetic algorithm-based optimization of the battery pack having a damaged unit was performed under the condition of adjusting the flow velocity of each inlet. The results show that the acceptable temperature differences were obtained under the condition of fixing the total mass flow rate of the inlets. The simulation and fault tolerance optimization methods recommended in this study can be widely used to improve the real safety level of the systems.