One of the major challenges in developing automotive BMS is maintaining the lifetime accuracy and robustness without blowing up the cost of the bill of material.
All electric vehicles are driven by lithium-ion (Li-ion) batteries. Despite the drastic cost drop in the Li-ion battery cells, the battery remains the most expensive part in an electric vehicle. As such, maximizing the battery performance and lifetime is a key objective for Mild-Hybrid, Plug-in-Hybrid, Full-Hybrid and Battery-Electric Vehicles (xEV) to be sustainable. Such an objective is challenged by the complexities associated with Li-ion battery cells. To mention few, Li-ion chemistries are known for their extremely flat State of Charge (SoC) curve and sensitivity to environmental (e.g. temperature) and aging elements (e.g. number of charging cycles). Additionally, operating the Li-ion cell outside its safe operating area can drastically reduce its lifespan and even damage it. Thus risking the safety of the passengers.