New charging algorithm cuts EV fast-charging time while protecting battery health
Researchers have developed an adaptive charging system that speeds up electric vehicle battery recharging by dynamically adjusting power delivery based on real-time battery conditions. The breakthrough could reduce charging delays at commercial stations while extending battery lifespan—a critical win for fleet operators and charging networks seeking faster service without costly equipment upgrades.
Originaltitel: Stochastic Gradient Pulse Adaptation for Grid Friendly DC Fast Charging of Battery Electric Vehicles
Volvo utvecklar en adaptiv laddningsalgoritm som minskar laddtiden för batteribussar utan att offra säkerhet. Stochastic Gradient Pulse Adaptation (SGPA) justerar laddningsintensiteten i realtid baserat på batteriers respons — temperatur, inre resistans och laddningstillstånd — istället för att förlita sig på förutbestämda CC–CV-profiler. Systemet ökar laddningseffekten när elektrokemiska förhållanden tillåter det och reducerar pulserna när värmeproblem eller resistansökning uppstår. Simuleringarna på tung- och flerbatterisystem visar kortare laddtider än traditionell multi-CCCV-laddning, med balanserad strömfördelning över batteripack. För infrastrukturleverantörer och fordonsdriftörer är detta relevant: snabbare DC-laddning minskar stilleståndstid utan ny hårdvara. Algoritmen föreslås vara implementeringsklar, vilket förkortar vägen från koncept till kommersiell deployment i elmöbilitetsflottor.
<div class="section abstract"><div class="htmlview paragraph">This paper presents Stochastic Gradient Pulse Adaptation (SGPA), a real-time adaptive pulse-charging system for rechargeable electrochemical batteries that dynamically adjusts charging aggressiveness based on the battery's internal response, as opposed to predetermined CC–CV or fixed pulse profiles. SGPA is different from traditional charging methods that use static current de-rating and conservative voltage limits. Instead, SGPA uses gradient-based feedback from terminal voltage behaviour, temperature changes, internal resistance changes, and state of charge to continuously adapt pulse amplitude and duty cycle. This algorithm boosts the charging intensity when the electrochemical circumstances are good. It lowers the pulses slowly when signs of thermal or impedance-related stress show up. Simulation-based proof-of-concept experiments on a heavy-duty multi-battery system show that charging time is less than with multi-CCCV charging, while still keeping the current distribution across packs balanced. The suggested SGPA method adds an adaptive charging algorithm that is easy to understand and ready to use. It makes fast charging more efficient without lowering voltage and thermal safety limits.</div></div>