On the other hand, it is possible to reduce the production cost of batteries by giving some tax incentives to battery manufacturers or manufacturers of core components of the battery industry based on overall considerations of their production quality, sales performance, innovation ability, customer satisfaction, and other aspects.
To identify the aging mechanism of the battery by using the OCV curve of electrodes, it is necessary to establish the correlation model between the aging and the OCV curves. Besides, considering that the SOC i of the electrode can not be measured directly, it is necessary to map the SOC of the whole battery to the electrode SOC i.
As one of the core technologies of NEVs, power battery accounts for over 30% of the cost of NEVs, directly determines the development level and direction of NEVs. In 2020, the installed capacity of NEV batteries in China reached 63.3 GWh, and the market size reached 61.184 billion RMB, gaining support from many governments.
Battery manufacturers are currently using four major strategies to reduce the impurities in the manufacturing process. The first one is through the strict quality control of incoming materials.
In the beginning, the loss of delithiated material in the negative electrode only has a weak effect on the battery capacity, because the negative electrode has excessive active substances, and the OCV curve of the negative electrode remains unchanged at the low SOC stage.
Three aging modes of battery are quantified by the established OCV model. The semi-empirical models are proposed for three aging modes. The model of aging modes on ohmic/polarization resistance is established. Remaining useful life and SOH are predicted by proposed models and particle filter.