Master Battery Performance. Let’s Release.

Speed up SOH determination by acting smarter, not slower. Outdated test campaigns stretch over a year – tying up testbeds, overloading climate chambers, and stalling timelines. Each factor influencing battery ageing – from charge/discharge cycles over temperature to resting and mechanical stress – requires months of isolated testing. Even OEMs re-run supplier tests to verify cell ageing. Validation comes to a standstill, capacity stays occupied, and time-to-market slips. But why waste time? Train machine learning models on early cycles to detect patterns between fast- and slow-ageing cells. Let algorithms learn degradation behavior and accurately predict the remaining 20-40 % of the SOH curve using active design of experiments (DoE) strategies. With smart parameter variation and optimized test sequencing, you reduce valuable time, gain insights earlier, and free up resources – driving progress while others are still testing.

Stop guessing the condition of the battery. Predicting SOx during operation is often inconsistent – misleading the BMS and undermining warranty events and maintenance planning. Why? Because in-vehicle systems only see one battery in a vehicle. Without broader data context, values fluctuate erratically and lose meaning. Move from fragmented readings to cloud-based intelligence supported by connected BEVs and centralized data analytics. By aggregating field data from entire fleets, you can create robust SOx prediction models that feed optimized strategies directly into the BMS. AI methods such as long short-term memory (LSTM) and transfer learning combine lab and field knowledge to increase prediction accuracy. Federated Learning ensures data protection while continuously improving model performance across global fleets. You get early warnings of anomalies, reliable lifetime planning, and precise SOx visibility – not based on hypotheses, but on structured findings. And with root cause analysis, you can quantify what’s really causing battery performance degradation – and what you can do about it.