Advanced Battery Management Technologies for Electric Vehicles

Index

• a
• acceleration rate  4, 7, 10, 11, 28
• activation overvoltage  14
• active balancing  25, 183, 191, 227
• active material  14, 17, 20
• active particle  31–33, 40
• actuator fault  26
• adaptive extended Kalman filter (AEKF)  104
• adaptive filter  70
• adaptive particle filter (APF)  104
• adaptive state estimation method  104
• adaptive switching gain sliding mode observer  166
• adaptive unscented Kalman filter (AUKF)  104
• aerodynamic drag force  2, 11, 28
• aging
  • condition  69
  • level  148
  • mechanism  97
• air cooling  237
• Akira Information Criterion (AIC)  48
• ampère‐hour (Ah)
  • charging factor  159
  • counting  23, 96, 192
  • efficiency  158
  • integral  67
• anode  12, 17–19
• application layer  245
• Arrhenius equation  112
• artificial intelligence (AI)  22
• available capacity  106, 109, 114, 125, 128, 129, 186, 187, 193
• available peak power  132

• b
• balancing
  • circuit  189, 191–193, 197, 235, 236
  • control  191, 193, 227
  • controller  203, 227
  • criterion  189, 191, 209, 214, 223, 227
  • process  191, 222
  • speed  189
• battery
  • aging  64, 150
  • balancing  22, 25, 183
  • charger  26
  • charging  2, 21, 22, 24, 25, 27, 155
  • control unit (BCU)  237, 238
  • cooling  237
  • degradation  129
  • fault  22, 26
  • heating  237
  • life  161
  • modeling  21, 31
  • pack  138, 157
  • protection circuit  26
  • sorting  183, 227
  • state  2, 21, 23, 26
  • swap  155
  • system  8, 9, 11, 12, 18, 21, 24–28
  • type  64
• battery management system (BMS)  157, 231
• battery management technology (BMT)  1
• battery monitoring circuit (BMC)  237, 238
• Bayesian learning  23
• Bayesian Monte Carlo ...