CY8C4147LDE-HV534T
现货，推荐
符合RoHS标准

CY8C4147LDE-HV534T

PSOC™ 4 HVPA-SPM 1.0 (smart battery pack monitor)
User manual
封装

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CY8C4147LDE-HV534T
CY8C4147LDE-HV534T
User manual


商品详情

  • 16-20位精密ΔΣ ADC
    2
  • AECQ 可用
    Yes
  • CAN-FD
    Yes
  • CRYPTO
    Yes
  • GPIO
    22
  • LIN控制器
    Yes
  • SCB模块
    2
  • TCPWM模块
    5
  • 带ECC的SRAM
    8 kByte
  • 带ECC的代码闪存
    128 kByte
  • 带ECC的数据闪存
    16 kByte
  • 温度
    - 40°C - + 125°C
  • 隔离UART
    No
  • 高压子系统(LDO，LIN PHY)
    LDO only
  • 高压测量IOS (带HV分压器)
    1
  • 高电压测量精度（带高压分压器）
    0.16 %

推荐的
OPN
产品状态 active and preferred
英飞凌封装名称
PG-VQFN-48
封装名 WQFN-48 (002-33925)
封装尺寸 N/A
封装类型 N/A
湿度 N/A
防潮封装 N/A
无铅 No
无卤素 Yes
符合RoHS标准 Yes

产品状态
Active
英飞凌封装名称
PG-VQFN-48
封装名 WQFN-48 (002-33925)
封装尺寸 0
封装类型
湿度 -
防潮封装
无铅
无卤素
符合 RoHS 标准
PSOC™ 4 HVPA‑SPM 1.0 is a programmable smart battery pack monitor for automotive BMS. It combines a 32‑bit Arm® Cortex®‑M0+ with high‑precision analog front‑end (ΔΣ ADCs, comparators) for accurate current/voltage/temperature sensing. It supports iso‑UART daisy‑chain plus CAN‑FD to reduce host MCU load and enable robust, scalable architectures.

特性

  • 32‑bit Arm Cortex‑M0+ MCU
  • Up to 49.152 MHz CPU performance
  • Integrated Flash, SRAM with ECC
  • Dual high‑precision ΔΣ ADCs
  • Current, voltage & temp sensing
  • Auto‑gain current measurement path
  • CAN FD controller (up to 5 Mbps)
  • iso UART PHY for daisy‑chain BMS
  • Crypto: AES/SHA/CRC + TRNG/PRNG
  • Functional safety support (ASIL‑D)
  • Flexible timers & PWM blocks
  • Up to 22 programmable GPIOs

产品优势

  • Accurate current/voltage/temp sensing
  • Offloads monitoring tasks from host MCU
  • Robust daisy‑chain pack communication
  • Compatible with TLE9012/TLE9018 ICs
  • Fast CAN FD gateway to zonal ECU
  • Increased safety via ECC & diagnostics
  • Strong security for data/authentication
  • Flexible serial interfaces reduce BOM
  • Built‑in timers support control & logic
  • Supports ISO 26262 process compliance
  • Simplifies multi‑cell BMS scalability
  • Reduces wiring complexity and weight

应用

文档

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