GENSOH is a suite of advanced algorithms that uses real time measurements of cells voltages, currents and temperatures to calculate accurate estimations of SOC and SOH. In addition, it estimates the remaining calendar life and cycle life of the battery pack at different storage and cycling conditions.
The applications span from automotive to stationary.
It can be integrated in the microcontroller of existing BMS or as a higher level separate microcontroller that communicates with the BMS via CAN.
Additionally, it can estimates Cycle Life and Calendar Life at different ambient temperatures, depth of discharges, C-rates and initial SOC.
Accuracies are within 1% for SOC and 2% for SOH throughout the entire life of the battery.
Within FES4SAE project GENSOH algorithms have been integrated in a STM32 platform and validated at Fraunhofer Institute for Integrated Systems and Device Technology IISB, Erlangen, Germany using Genport’s Hybrid Fuel Cell system with a 6.2 kWh Li-ion battery.
PRODUCT DEVELOPED IN THE FRAMEWORK OF A FUNDED PROJECT
Project Acronym and Title: HYPEMLIFE – Predictive Control System to Maximize Lifetime of Hybrid Fuel Cells
Funding source: H2020: FED4SAE “Federated CPS Digital Innovation Hubs for the Smart Anything Everywhere Initiative”
Grant Agreement Number or Funding reference: G.A. 761708