SNVA940 November 2021 LM5157 , LM5157-Q1 , LM51571-Q1 , LM5158 , LM5158-Q1 , LM51581 , LM51581-Q1
The total loss of the boost converter (PTOTAL) can be expressed as the sum of the losses in the device (PIC, excludes the power MOSFET loss), MOSFET power losses (PQ), diode power losses (PD), inductor power losses (PL), and the loss in the sense resistor (PRS, see explanation below). The sum of (PIC) and (PQ) is the power dissipation in the converter device and should be designed within the reasonable range to prevent excessive temperature rise of the IC.
PIC can be separated into gate driving loss (PG) and the losses caused by quiescent current (PIQ).
Each power loss is approximately calculated as follows:
IBIAS values in each mode can be found in the LM5157x and LM5158x data sheet.
PQ can be separated into switching loss (PQ(SW)) and conduction loss (PQ(COND)).
Each power loss is approximately calculated as follows:
tR and tF are the rise and fall times of the integrated power MOSFET. ISUPPLY is the input supply current of the boost converter.
RDS(ON) is the on-resistance of the MOSFET given in the LM5157x and LM5158x data sheet. Consider the RDS(ON) increase due to self-heating.
PD can be separated into diode conduction loss (PVF) and reverse recovery loss (PRR).
Each power loss is approximately calculated as follows:
QRR is the reverse recovery charge of the diode and is specified in the diode data sheet. Reverse recovery characteristics of the diode strongly affect efficiency, especially when the load voltage is high.
PL is the sum of DCR loss (PDCR) and AC core loss (PAC). DCR is the DC resistance of inductor which is mentioned in the inductor data sheet.
Each power loss is approximately calculated as follows:
∆I is the peak-to-peak inductor current ripple. K, α, and β are core dependent factors which can be provided by the inductor manufacturer.
Due to the current sensing technique implemented in LM5157x and LM5158x, the sensing resistance and the power loss PRS is negligible.
Efficiency of the power converter can be estimated as follows: