Optimal sizing of hybrid high-energy/high-power battery energy storage systems to improve battery cycle life and charging power in electric vehicle applications

Design of the Electric Vehicle (EV) battery pack involves different requirements related to driving range, acceleration, fast-charging, lifetime, weight, volume, etc. Therefore, sizing EV necessitates a multi-objective optimization study achieve right trade-off considering aforementioned factors. This “trade-off” can vary depending on type and size EV, as well use cases. In this regard, nice solution is hybridized consisting both High-Energy (HE) High-Power (HP) cells, which will help meet wider range customer requirements. Hybridization decouples energy power thus increases design flexibility better for applications. paper proposes an effective framework optimal such packs typical namely Mitsubishi MiEV. Lithium-ion cells with Nickel Manganese Cobalt Oxide (NMC) Lithium Titanate (LTO) chemistry are chosen HE HP respectively. A detailed analysis fulfilled determine best hybridization topology, e.g. voltage profile, interface DC-link, The genetic algorithm used solve problem two cycles, New European Driving Cycle (NEDC) Worldwide Harmonised Light Test Procedure (WLTP). results favor usefulness hybrid simultaneously lifetime charge compared mono systems. offers >+40,000 km improvement in achievable when end-of-life criterion 70 % cell capacity considered. Remarkably, optimized also be fast charged up within 6 min. • Hybrid system tackles poor model-based approach proposed translate drive cycle data duty cycles. Genetic respect aging, charging speed. An select architecture. Results show provides among targets.