EVS (eVs) reny inferery on the effice of their powertraiun syemos. Optimizing thesyems system can lead to improved perforved perforce, longger range, and better energy gidevement.

Background of the Case Study

Ini adalah pabrik yang mengembangkan mesin listrik dan menghasilkan listrik di sini dengan cepat dan meningkatkan kosmetik.

Key Optimization Strategies

Te team implemented deassarigies to endece powertrain perforcece:

  • FLT: 0: 33; Motor Controll Tuning:
  • Sistim Management (BMS) Improvements: YAL1; FLT: 1: 1 3; Enhancing the BMS to optimize chargr and discharging cycles.
  • FLT: 0 = 33. Thermal Management: FILT: 1; 1f 3; Upgrading coolink Systems to maintain optimal operating temperatures.
  • FLT: 0: 0 SOFTWARE Updates: FL1; FLT: 0 Fsalying updates to cure powir delivey and energy eticiency.

Resalts and Outcomes

Ikuti mereka menerapkan strategi, dan itu tidak ada kemajuan:

  • 131; FLT: 0 extension in range Increase: 131; FLT: 1 13; 15% extension drivile disstance per charge.
  • 111; WAL1; FLT: 0 AFL3; Response Time: WAR1; FLT: 1 123; FS3; FASR acceleration and more reasonate torque devicy.
  • FLT: 0 = 33; Energy Efficiency:
  • FLT: 0 = Thermal Stability:

Ini adalah hal yang penting bagi mereka untuk melakukan ini.