class BatteryManagementSystem: def init(self, battery_capacity=60, initial_soh=100): self.battery_capacity = battery_capacity # 電池容量(kWh) self.state_of_health = initial_soh # 健康狀態(%) self.cycle_count = 0 # 充放電循環次數 self.temperature_history = [] # 温度歷史記錄 self.charge_history = [] # 充電歷史記錄

複製 def update_soh(self, charge_amount, temperature, charge_rate): """更新電池健康狀態""" # 模擬SOH衰減算法 degradation_factor = 1.0

# 高温加速衰減
if temperature > 45:
    degradation_factor *= 1.2
elif temperature < 0:
    degradation_factor *= 1.1
    
# 快速充電加速衰減
if charge_rate > 0.8:  # 快充(>0.8C)
    degradation_factor *= 1.15
    
# 計算本次充電的衰減量
capacity_loss = (charge_amount / self.battery_capacity) * 0.0005 * degradation_factor

# 更新SOH
self.state_of_health -= capacity_loss
self.state_of_health = max(0, self.state_of_health)

# 更新循環計數
self.cycle_count += charge_amount / self.battery_capacity

# 記錄温度和充電歷史
self.temperature_history.append(temperature)
self.charge_history.append({
    'timestamp': datetime.datetime.now(),
    'charge_amount': charge_amount,
    'temperature': temperature,
    'charge_rate': charge_rate
})

return self.state_of_health

def predict_battery_life(self): """預測電池壽命""" # 基於歷史數據預測剩餘壽命 if len(self.charge_history) < 5: return "數據不足，無法準確預測"

# 分析温度影響
avg_temp = sum(self.temperature_history) / len(self.temperature_history)
temp_impact = 1.0
if avg_temp > 35:
    temp_impact = 0.8  # 高温降低壽命
elif avg_temp < 15:
    temp_impact = 0.9  # 低温輕微降低壽命
    
# 分析快充使用頻率
fast_charge_ratio = len([c for c in self.charge_history if c['charge_rate'] > 0.8]) / len(self.charge_history)
fast_impact = 1.0 - (fast_charge_ratio * 0.2)

# 基於當前SOH和衰減趨勢預測剩餘循環次數
remaining_cycles = (self.state_of_health / 100) * 2000 * temp_impact * fast_impact

# 計算剩餘時間
charge_frequency = len(self.charge_history) / ((datetime.datetime.now() - 
                                           self.charge_history[0]['timestamp']).days / 30)

if charge_frequency > 0:
    remaining_months = remaining_cycles / charge_frequency
    return f"預計電池還能使用 {remaining_months/12:.1f} 年"
else:
    return f"預計電池還能完成 {remaining_cycles:.0f} 次充放電循環"

def get_optimal_charge_range(self): """獲取最佳充電範圍建議""" if self.state_of_health > 90: return "建議充電範圍: 20%-80% SOC" elif self.state_of_health > 70: return "建議充電範圍: 30%-70% SOC (電池健康狀態下降)" else: return "建議充電範圍: 40%-60% SOC (電池健康狀態顯著下降)"

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  1. 電池健康管理系統 https://blog.51cto.com/u_16213142/14115074